Recent Releases of https://github.com/kubeflow/pipelines

https://github.com/kubeflow/pipelines - Version 2.14.3

What's Changed

  • fix(sdk): Set spec.description when compiling to Kubernetes manifests (kubeflow#12132)
  • fix(tools): Fix a typo in converttok8s_format (kubeflow#12161)
  • fix(backend): Fix mutating webhook when pipeline name label value is too long (kubeflow#12162)
  • fix(backend): Return from pipeline deletions after the cache is updated (kubeflow#12153)
  • fix(backend/sdk): Fix REST API outputs for pipeline versions with invalid platform specs (kubeflow#12183)
  • fix(backend): Add support for additional filters on the Kubernetes native API (kubeflow#12189)

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.14.0...2.14.3

- Python
Published by mprahl 9 months ago

https://github.com/kubeflow/pipelines - KFP SDK v2.14.2

Release of the KFP SDK only.

To install the KFP SDK:

bash pip install kfp==2.14.2

What's Changed

  • update kfp server api for kfp sdk (kubeflow#12120)

Full Changelog: https://github.com/kubeflow/pipelines/compare/sdk-2.14.1...sdk-2.14.2

- Python
Published by HumairAK 10 months ago

https://github.com/kubeflow/pipelines - KFP SDK v2.14.1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.14.1 For changelog, see release notes.

- Python
Published by HumairAK 10 months ago

https://github.com/kubeflow/pipelines - Version 2.14.0

This release is a version alignment release. This release succeeds the KFP 2.5.0 release. In this 2.14.0 release, KFP backend is aligned in major and minor versions (X.Y) with all the KFP python packages. Please read more about this and the KFP versioning policy here.

What's Changed

  • chore(sdk): kfp and kfp-kubernetes 2.13 & 1.5 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11870
  • update release doc paths & make script executable by @HumairAK in https://github.com/kubeflow/pipelines/pull/11871
  • chore(components): GCPC 2.20.0 Release by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11869
  • chore(components): Relax KFP SDK dependency for GCPC by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11879
  • chore: bump master to release 2.5 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11872
  • chore(deps): bump sagemaker from 2.1.0 to 2.237.3 in /components/aws/sagemaker by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11876
  • Internal cleanup by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11877
  • feat(backend): Add the Kubernetes native pipeline store by @mprahl in https://github.com/kubeflow/pipelines/pull/11881
  • fix(sdk): resolve issue when creating pipeline version from pipeline name using the cli. Fixes #11810 by @chjdev in https://github.com/kubeflow/pipelines/pull/11866
  • fix(backend): Stop logging the strack trace on benign user errors by @mprahl in https://github.com/kubeflow/pipelines/pull/11883
  • chore: update all owners files by @HumairAK in https://github.com/kubeflow/pipelines/pull/11886
  • feat(backend): Allow the launcher command to be configurable by @mprahl in https://github.com/kubeflow/pipelines/pull/11888
  • feat(backend/sdk): enable dsl.Collected for parameters & artifacts by @zazulam in https://github.com/kubeflow/pipelines/pull/11725
  • fix(sdk): fix pip install for dev by @dandawg in https://github.com/kubeflow/pipelines/pull/11891
  • chore: Adding Adopters file for CNCF graduation by @franciscojavierarceo in https://github.com/kubeflow/pipelines/pull/11894
  • feat(backend): parameterize retryStrategy input in Argo workflow by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11861
  • chore: Add mprahl to the samples owners file by @mprahl in https://github.com/kubeflow/pipelines/pull/11897
  • chore: handle empty tolerations dict/lists parrameterization by @HumairAK in https://github.com/kubeflow/pipelines/pull/11898
  • feat(backend): add the option to enable/disable cache globally by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11831
  • feat(frontend): Add "Always Use Latest Version" option for recurring runs (fixes #11581) by @kaikaila in https://github.com/kubeflow/pipelines/pull/11755
  • add maintainer to kfp by @HumairAK in https://github.com/kubeflow/pipelines/pull/11900
  • chore: correct broken links in README.md by @Shekharrajak in https://github.com/kubeflow/pipelines/pull/11896
  • fix(sdk): Resolves issue when using ParallelFor with param and depending tasks by @mai-nakagawa in https://github.com/kubeflow/pipelines/pull/11903
  • chore(components): fix v1 model_evaluations components mingled under the preview module by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11902
  • feat(backend): Add migration script to create Pipeline and PipelineVersion objects from the database to Kubernetes API by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11884
  • chore(components): GCPC 2.20.1 Release by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11909
  • chore: Add IBM Research Foundation Model Data Engineering team by @anishasthana in https://github.com/kubeflow/pipelines/pull/11905
  • chore(tests): fix KFP SDK tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11911
  • chore(backend): break up driver logic by @HumairAK in https://github.com/kubeflow/pipelines/pull/11885
  • chore(components): Update OS packages in GCPC container image by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/11912
  • feat(backend): Add CLI flags to support Kubernetes native API implementation by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11907
  • chore(test): Update cache test timeout and polling intervals by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11916
  • docs(KEP): Propose a new pipeline run workspace feature by @mprahl in https://github.com/kubeflow/pipelines/pull/11875
  • chore(backend): upgrade mysql to 8.4 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11917
  • chore: Enable go fmt as a lint check for Go code by @cmdevoto in https://github.com/kubeflow/pipelines/pull/11830
  • chore(test): fixed log collection in tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11910
  • feat(proto): Add WorkspaceConfig and KubernetesWorkspaceConfig message types to pipeline_spec proto by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11921
  • - fix(launcher): missing executorInput parameter values caused by {{$}} evaluation order by @ntny in https://github.com/kubeflow/pipelines/pull/11925
  • chore(ci): clean up unnecessary parentheses and fix the formatting of the CI files by @lekaf974 in https://github.com/kubeflow/pipelines/pull/11926
  • docs(frontend): add ui dev docs by @HumairAK in https://github.com/kubeflow/pipelines/pull/11931
  • feat: add openshift env to manifests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11932
  • chore: Updating KFP docs by @franciscojavierarceo in https://github.com/kubeflow/pipelines/pull/11927
  • docs: add GoLand-specific configs to backend Readme by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11919
  • test: Update the Kubernetes and Python version ranges in the CI by @mprahl in https://github.com/kubeflow/pipelines/pull/11924
  • feat(backend) implement retryStrategy for nested pipelines by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11908
  • chore(deps): bump tornado from 6.4.2 to 6.5.1 in /test/sample-test by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11936
  • fix(tests): free up space in kfp samples test workflow by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11942
  • chore: pipeline api spec minor release by @HumairAK in https://github.com/kubeflow/pipelines/pull/11939
  • docs(frontend): added build instruction to readme by @rsun19 in https://github.com/kubeflow/pipelines/pull/11943
  • chore: Nest sdk docs by @anishasthana in https://github.com/kubeflow/pipelines/pull/11945
  • chore: Adding Devin's DeepWiki to README by @franciscojavierarceo in https://github.com/kubeflow/pipelines/pull/11948
  • docs(frontend): Added clean up section to openshift docs by @rsun19 in https://github.com/kubeflow/pipelines/pull/11951
  • chore: add c1 to ADOPTERS.md by @zazulam in https://github.com/kubeflow/pipelines/pull/11954
  • feat(sdk): update PipelineConfig to reflect new workspace Protobuf changes by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11934
  • feat(backend/frontend): Add the name field for pipelines and pipeline versions by @mprahl in https://github.com/kubeflow/pipelines/pull/11952
  • feat(frontend) Use native k8s probes for pipeline-ui by @LaurentGoderre in https://github.com/kubeflow/pipelines/pull/11955
  • chore(deps): bump torch from 2.6.0 to 2.7.1 in /samples/contrib/ibm-samples/ffdl-seldon/source/seldon-pytorch-serving-image by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11959
  • fix(cache): Optimize cache expiration query solves #11614 by @cbartram in https://github.com/kubeflow/pipelines/pull/11920
  • feat(backend/sdk): support PipelineTaskFinalStatus input by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11953
  • feat(backend): Use native k8s probes for api-server and visualization by @LaurentGoderre in https://github.com/kubeflow/pipelines/pull/11960
  • test(backend): Add unit test for NewLauncherV2 by @jpthompson23 in https://github.com/kubeflow/pipelines/pull/11854
  • chore(deps): bump requests from 2.18.4 to 2.32.4 in /components/contrib/arena/docker by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11963
  • fix(backend): Fix the pipeline samples by @mprahl in https://github.com/kubeflow/pipelines/pull/11967
  • chore(deps): bump requests from 2.32.2 to 2.32.4 in /test/kfp-functional-test by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11966
  • fix(test): Fix the frontend sample test by @mprahl in https://github.com/kubeflow/pipelines/pull/11968
  • chore(deps): bump brace-expansion in /test/frontend-integration-test by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11971
  • chore(deps): bump brace-expansion from 1.1.11 to 1.1.12 in /frontend by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11972
  • chore(deps): bump brace-expansion from 1.1.11 to 1.1.12 in /frontend/server by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11978
  • chore(deps): bump protobuf from 4.25.3 to 4.25.8 in /test/kfp-functional-test by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11985
  • user master for dev manifests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11977
  • chore(deps): bump protobuf from 4.25.4 to 4.25.8 in /test/sample-test by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11986
  • chore(deps): bump urllib3 from 1.26.15 to 2.5.0 in /components/aws/sagemaker by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11993
  • chore: update workflows to test proto changes in ci by @zazulam in https://github.com/kubeflow/pipelines/pull/11995
  • fix(apiserver): fix typos in resource_manager.go: by @milosjava in https://github.com/kubeflow/pipelines/pull/11998
  • fix(backend): Fix boolean flag syntax for --cache_disabled and update test to cover pipelines with outputs by @hbelmiro in https://github.com/kubeflow/pipelines/pull/12001
  • chore(backend): upgrade minio-go to v7 by @HumairAK in https://github.com/kubeflow/pipelines/pull/12005
  • chore(backend): Fixed warnings in Dockerfiles by @hbelmiro in https://github.com/kubeflow/pipelines/pull/12003
  • chore(deps): bump urllib3 from 2.4.0 to 2.5.0 in /sdk/python by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/11999
  • chore(docs): change adrs to kep in contrib doc by @HumairAK in https://github.com/kubeflow/pipelines/pull/12011
  • chore(deps-dev): bump pbkdf2 from 3.1.2 to 3.1.3 in /frontend by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12007
  • feat(ui): add ESC shortcut for closing SidePanel. Fixes #11873 by @EnyMan in https://github.com/kubeflow/pipelines/pull/11874
  • feat(docs): erdiagram of kfp-db by @112358fn in https://github.com/kubeflow/pipelines/pull/12009
  • fix(components): Changed method_whitelist. Fixes #11880 by @Tlaquetzal in https://github.com/kubeflow/pipelines/pull/11961
  • feat(sdk): Add Support for Docker Container Run Arguments by @BieniekAlexander in https://github.com/kubeflow/pipelines/pull/12006
  • fix: input resolution with setdisplayname by @zazulam in https://github.com/kubeflow/pipelines/pull/11938
  • chore: Migrate busybox images form registory.k8s.io to ghcr by @akagami-harsh in https://github.com/kubeflow/pipelines/pull/12014
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/12004
  • fix(sdk): Fixes for Identifying Untagged Images for Running by @BieniekAlexander in https://github.com/kubeflow/pipelines/pull/11984
  • fix(sdk): Move version info to version.py for editable installs. by @therrshan in https://github.com/kubeflow/pipelines/pull/11997
  • feat(backend): Add support for platform specs on K8s native API by @mprahl in https://github.com/kubeflow/pipelines/pull/12016
  • chore(deps): Update go-grpc-middleware to v2 by @mprahl in https://github.com/kubeflow/pipelines/pull/12043
  • feat(backend): support for optional input parameters in nested pipelines by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11980
  • feat(docs): Guide to report security vulnerabilities by @andreyvelich in https://github.com/kubeflow/pipelines/pull/12044
  • add new KFP maintainers by @HumairAK in https://github.com/kubeflow/pipelines/pull/12059
  • fix: Delete the pipeline along with its all versions. Fixes #11665 by @milinddethe15 in https://github.com/kubeflow/pipelines/pull/12019
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/12057
  • feat(backend): update Argo Workflow Compiler to create workspace PVCs by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11982
  • fix(backend): increase maxmetadatasize for ml-metadata grpc server by @droctothorpe in https://github.com/kubeflow/pipelines/pull/12062
  • Fix broken Pipeline Root documentation link by @mustachemo in https://github.com/kubeflow/pipelines/pull/12051
  • chore(deps): bump on-headers and compression in /frontend by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12064
  • docs: Add a proposal for Model Registry integration by @mprahl in https://github.com/kubeflow/pipelines/pull/12020
  • docs(KEP): Adding a proposal for the overhaul of tests in the KFP project by @nsingla in https://github.com/kubeflow/pipelines/pull/11991
  • feat(sdk): Add support for compiling pipelines to Kubernetes native format in SDK by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/12012
  • chore(deps): bump golang.org/x/oauth2 from 0.0.0-20210628180205-a41e5a781914 to 0.27.0 in /test/tools/project-cleaner by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12066
  • chore: Update owners instructions to ensure other locations are up to date by @anishasthana in https://github.com/kubeflow/pipelines/pull/12069
  • chore(deps): bump golang.org/x/oauth2 from 0.22.0 to 0.27.0 by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12070
  • chore(deps): bump urllib3 from 2.2.3 to 2.5.0 in /backend/metadata_writer by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12025
  • chore(docs): Added new AI/ML lifecycle blog post link to README.md by @hbelmiro in https://github.com/kubeflow/pipelines/pull/12065
  • fix(sdk): Support partial replace of placeholders in dict/list objects by @mai-nakagawa in https://github.com/kubeflow/pipelines/pull/12039
  • chore: Upgrade Argo Workflows to v3.6.7, bump golang version to v.1.24 by @hbelmiro in https://github.com/kubeflow/pipelines/pull/12072
  • chore(deps): bump github.com/go-viper/mapstructure/v2 from 2.2.1 to 2.3.0 by @dependabot[bot] in https://github.com/kubeflow/pipelines/pull/12076
  • fix(backend/sdk): update proto packages by @HumairAK in https://github.com/kubeflow/pipelines/pull/12067
  • fix: backwards compatibility for pipeline spec task_name by @zazulam in https://github.com/kubeflow/pipelines/pull/12061
  • chore(backend): resolve linting errors by @HumairAK in https://github.com/kubeflow/pipelines/pull/12083
  • chore: Switch Argo Workflows manifests to remote Git references by @hbelmiro in https://github.com/kubeflow/pipelines/pull/12074
  • feat(backend): Support more than one label & annotations setting per component by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/12049
  • feat(sdk) Add Input Parameter support for node affinity by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/12028
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service[bot] in https://github.com/kubeflow/pipelines/pull/12091
  • fix(sdk,backend): Make the workspace size required by @mprahl in https://github.com/kubeflow/pipelines/pull/12094
  • fix(deps): revert metadata_writer k8s version by @zazulam in https://github.com/kubeflow/pipelines/pull/12099
  • fix(backend): omit unknown fields in json marshaling by @HumairAK in https://github.com/kubeflow/pipelines/pull/12101
  • add versioning policy for KFP by @HumairAK in https://github.com/kubeflow/pipelines/pull/12105

New Contributors

  • @chjdev made their first contribution in https://github.com/kubeflow/pipelines/pull/11866
  • @franciscojavierarceo made their first contribution in https://github.com/kubeflow/pipelines/pull/11894
  • @kaikaila made their first contribution in https://github.com/kubeflow/pipelines/pull/11755
  • @Shekharrajak made their first contribution in https://github.com/kubeflow/pipelines/pull/11896
  • @cmdevoto made their first contribution in https://github.com/kubeflow/pipelines/pull/11830
  • @lekaf974 made their first contribution in https://github.com/kubeflow/pipelines/pull/11926
  • @rsun19 made their first contribution in https://github.com/kubeflow/pipelines/pull/11943
  • @LaurentGoderre made their first contribution in https://github.com/kubeflow/pipelines/pull/11955
  • @cbartram made their first contribution in https://github.com/kubeflow/pipelines/pull/11920
  • @jpthompson23 made their first contribution in https://github.com/kubeflow/pipelines/pull/11854
  • @milosjava made their first contribution in https://github.com/kubeflow/pipelines/pull/11998
  • @EnyMan made their first contribution in https://github.com/kubeflow/pipelines/pull/11874
  • @112358fn made their first contribution in https://github.com/kubeflow/pipelines/pull/12009
  • @Tlaquetzal made their first contribution in https://github.com/kubeflow/pipelines/pull/11961
  • @BieniekAlexander made their first contribution in https://github.com/kubeflow/pipelines/pull/12006
  • @therrshan made their first contribution in https://github.com/kubeflow/pipelines/pull/11997
  • @mustachemo made their first contribution in https://github.com/kubeflow/pipelines/pull/12051

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.5.0...2.14.0

- Python
Published by HumairAK 10 months ago

https://github.com/kubeflow/pipelines - Version 2.5.0

What's Changed

  • fix(frontend): Fix the frontend image build with Node 22 by @mprahl in https://github.com/kubeflow/pipelines/pull/11524
  • chore: switch to using gh container registry in manifests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11526
  • fix(backend): Fix enable_caching issues when handling PVC creation/deletion by @rimolive in https://github.com/kubeflow/pipelines/pull/11411
  • chore: switch release/api generator images to ghcr by @HumairAK in https://github.com/kubeflow/pipelines/pull/11528
  • test: fix CI failure by upgrading upload-artifact version by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11529
  • chore(release): bumped version to 2.4.0 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11531
  • feat(docs): Add architecture diagram by @anishasthana in https://github.com/kubeflow/pipelines/pull/11490
  • chore: Remove ouadakarim from Kubeflow Pipelines reviewers by @ouadakarim in https://github.com/kubeflow/pipelines/pull/11538
  • fix(backend): removed old version comment by @dandawg in https://github.com/kubeflow/pipelines/pull/11549
  • feat(docs): Replace ADRs with KEPs for documentation by @anishasthana in https://github.com/kubeflow/pipelines/pull/11535
  • fix(frontend): fixes Default pipeline input params are missing from the GUI. Fixes #11515 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11518
  • fix: Extend env variables in ml-pipeline-ui deployment by @akagami-harsh in https://github.com/kubeflow/pipelines/pull/11552
  • fix(sdk): dsl.component docstring typo by @dandawg in https://github.com/kubeflow/pipelines/pull/11547
  • chore: bump requests-toolbelt to 1.0.0 by @SimonDR-Boltzmann in https://github.com/kubeflow/pipelines/pull/10762
  • feat(backend): add support for uploading new sample pipeline vers by @HumairAK in https://github.com/kubeflow/pipelines/pull/11553
  • Fix typo in documentation for contribution and developer guide by @assu-2000 in https://github.com/kubeflow/pipelines/pull/11537
  • fix: Update broken api-connect link by @dandawg in https://github.com/kubeflow/pipelines/pull/11521
  • chore(test): Fixed namespace in tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11545
  • docs(backend): improved backend README by @dandawg in https://github.com/kubeflow/pipelines/pull/11511
  • fix(CI): Use the correct image registry for replacements in integration tests by @mprahl in https://github.com/kubeflow/pipelines/pull/11564
  • feat(api): Add SemaphoreKey and MutexName fields to proto by @DharmitD in https://github.com/kubeflow/pipelines/pull/11384
  • feat(backend): Allow recurring runs to always use the latest pipeline version by @mprahl in https://github.com/kubeflow/pipelines/pull/11560
  • chore(deps): replace deprecated ioutil with os and io in tests by @dandawg in https://github.com/kubeflow/pipelines/pull/11577
  • chore(frontend) : Fix frontend failing ci test by @chahatsagarmain in https://github.com/kubeflow/pipelines/pull/11575
  • fix(backend): Replaced hardcoded ServiceAccount with default config by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11578
  • docs: change node version from 14 to 22 in frontend project by @mahdikhashan in https://github.com/kubeflow/pipelines/pull/11567
  • feat(components): Introduce maxwaitduration to custom job to v1 GCPC custom job components/utils by @copybara-service in https://github.com/kubeflow/pipelines/pull/11452
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/11588
  • chore(backend): fixed imports on metadata_helpers.py by @dandawg in https://github.com/kubeflow/pipelines/pull/11604
  • fix(backend): the metacontroller is broken since #11474 by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11608
  • feat: Introduce cache_key to sdk by @zzmao in https://github.com/kubeflow/pipelines/pull/11466
  • chore: Remove License checker by @HumairAK in https://github.com/kubeflow/pipelines/pull/11609
  • chore(deps): bump github.com/golang/glog from 1.2.0 to 1.2.4 by @dependabot in https://github.com/kubeflow/pipelines/pull/11563
  • chor(test) : Fix kfp-sdk-test for different python versions by @chahatsagarmain in https://github.com/kubeflow/pipelines/pull/11559
  • feat(backend): Add support for job and task placeholders in the KFP backend by @mprahl in https://github.com/kubeflow/pipelines/pull/11599
  • chore(backend): updated deprecated grpc func by @dandawg in https://github.com/kubeflow/pipelines/pull/11603
  • feat(components): Fix typos: 'statgey' -> 'strategy'in v1 GCPC custom job components/utils by @copybara-service in https://github.com/kubeflow/pipelines/pull/11619
  • docs(backend): small formatting improvements by @dandawg in https://github.com/kubeflow/pipelines/pull/11570
  • docs(backend): fixed docker cmd in docs for non-amd64 by @dandawg in https://github.com/kubeflow/pipelines/pull/11610
  • [chore][backend] Add workflow to validate affected generated files by @chahatsagarmain in https://github.com/kubeflow/pipelines/pull/11539
  • chore(components): GCPC 2.19.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/11620
  • Refer to central KEP template by @anishasthana in https://github.com/kubeflow/pipelines/pull/11593
  • chore: use local proto go packages for ci by @HumairAK in https://github.com/kubeflow/pipelines/pull/11629
  • fix(backend): upgrade go version to 1.22.12 to fix CVE-2024-45336 by @dandawg in https://github.com/kubeflow/pipelines/pull/11631
  • fix(backend) fix run retry for argo by @ntny in https://github.com/kubeflow/pipelines/pull/11585
  • (test) : Collect and upload logs when test fails for k8s by @chahatsagarmain in https://github.com/kubeflow/pipelines/pull/11618
  • fix(frontend): restrict file explorer to show only .yaml, .yml, .zip, and .tar.gz files by @muzzlol in https://github.com/kubeflow/pipelines/pull/11623
  • feat(backend): Add support for importing models stored in the Modelcar format (sidecar) by @mprahl in https://github.com/kubeflow/pipelines/pull/11606
  • fix(backend): fixes DAG status update to reflect completion of all tasks by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11651
  • chore(test): Increased timeout in test by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11658
  • feat(backend): configurable log level for driver / launcher images by @CarterFendley in https://github.com/kubeflow/pipelines/pull/11278
  • fix(backend): parallelFor resolve upstream inputs. Fixes #11520 by @zazulam in https://github.com/kubeflow/pipelines/pull/11627
  • fix(frontend): fixes optional pipeline inputs. Fixes #11632 by @izuku-sds in https://github.com/kubeflow/pipelines/pull/11657
  • fix(manifests): Upgrading metacontroller to v4.11.22 by @tarekabouzeid in https://github.com/kubeflow/pipelines/pull/11656
  • fix(backend): ignore unknown fields for pb json unmarshaling by @HumairAK in https://github.com/kubeflow/pipelines/pull/11662
  • Allow system.Model artifacts in the Modelcar format by @mprahl in https://github.com/kubeflow/pipelines/pull/11674
  • docs: Add a KEP for a Kubernetes native API for pipelines by @mprahl in https://github.com/kubeflow/pipelines/pull/11551
  • chore: nominate sdk/backend reviewers by @HumairAK in https://github.com/kubeflow/pipelines/pull/11675
  • chore(sdk): release kfp sdk 2.12.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11679
  • docs: Add documentation for setimagepull_secrets by @george-kuanli-peng in https://github.com/kubeflow/pipelines/pull/11676
  • Limit the number of parallel tests in SDK execution tests by @mprahl in https://github.com/kubeflow/pipelines/pull/11680
  • Use the correct SDK version in the SDK execution tests CI by @mprahl in https://github.com/kubeflow/pipelines/pull/11683
  • Fix format string in getkfppackage_path by @mprahl in https://github.com/kubeflow/pipelines/pull/11712
  • chore(backend): partially revert 9afe23e7 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11713
  • feat(sdk): Add Input Parameter support for configmap, secrets, node selectors, tolerations, pull secrets by @HumairAK in https://github.com/kubeflow/pipelines/pull/11621
  • chore: improved securitycontext for mysql by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11678
  • Ignore empty PULL_NUMBER environment variables in SDK tests by @mprahl in https://github.com/kubeflow/pipelines/pull/11714
  • chore(sdk): Relax kfp-server-api upper bound to include 2.4 by @chensun in https://github.com/kubeflow/pipelines/pull/11685
  • chore(sdk): release kfp sdk 2.12.1 by @chensun in https://github.com/kubeflow/pipelines/pull/11715
  • fix(backend) fix execution-level retry on the Argo Workflows backend by @ntny in https://github.com/kubeflow/pipelines/pull/11673
  • remove unused function by @HumairAK in https://github.com/kubeflow/pipelines/pull/11719
  • fix(frontend): compatibility with pod_names v1 by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11682
  • Chore: fix the PPC image for the dockerhub ratelimit and add the securitycontext by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11669
  • chore(release): bumped version to 2.4.1 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11718
  • feat(backend): Add types for KFP Kubernete Native API by @rimolive in https://github.com/kubeflow/pipelines/pull/11672
  • chore(frontend): update kubernetes client version to 0.12.1 by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11737
  • fix: minio fsgroup for popular clusters by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11734
  • chore(deps): bump golang.org/x/net from 0.33.0 to 0.36.0 in /test/tools/project-cleaner by @dependabot in https://github.com/kubeflow/pipelines/pull/11748
  • Fix Istio sidecar injection by moving from annotations to labels by @madmecodes in https://github.com/kubeflow/pipelines/pull/11750
  • docs(ui): add multi-user proxy instructions by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11743
  • chore(deps): bump github.com/expr-lang/expr from 1.16.0 to 1.17.0 by @dependabot in https://github.com/kubeflow/pipelines/pull/11756
  • chore(backend): Allow specification of image registry when building images by @anishasthana in https://github.com/kubeflow/pipelines/pull/11759
  • fix(sdk): avoid conflicting component names in DAG when reusing pipelines by @stijntratsaertit in https://github.com/kubeflow/pipelines/pull/11071
  • bug(backend,sdk): Use a valid path separator for Modelcar imports by @mprahl in https://github.com/kubeflow/pipelines/pull/11767
  • feat(proto): Add TTL fields to KFP IR yaml proto by @rimolive in https://github.com/kubeflow/pipelines/pull/11758
  • fix(CI) Github action is vulnerable to code execution via comment body by @lociko in https://github.com/kubeflow/pipelines/pull/11772
  • Fix PSS restricted warnings by @akagami-harsh in https://github.com/kubeflow/pipelines/pull/11751
  • test: Fixed and improved log collection by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11773
  • fix(backend): Include missing go.mod for cacheserver/viewercontroller images by @gmfrasca in https://github.com/kubeflow/pipelines/pull/11776
  • test: Fixed collect-logs.sh path by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11775
  • feat(backend/sdk): Add input parameterization for various k8s resources by @HumairAK in https://github.com/kubeflow/pipelines/pull/11770
  • chore(backend): refactor driver tests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11777
  • feat(backend): Create a validating webhook for the PipelineVersion kind by @mprahl in https://github.com/kubeflow/pipelines/pull/11774
  • chore(deps): bump sagemaker from 2.1.0 to 2.237.3 in /samples/contrib/aws-samples/hostingmodelmonitor_pipeline by @dependabot in https://github.com/kubeflow/pipelines/pull/11769
  • test: Added the result of kubectl get pods to logs when waiting for pods to get ready by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11779
  • chore(deps): bump @babel/helpers from 7.24.0 to 7.26.10 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11747
  • chore(backend): upgade go and deps by @HumairAK in https://github.com/kubeflow/pipelines/pull/11780
  • fix(metadata-writer): use mlmdstore.getcontext_types() instead of workaround by @Abhinav2777 in https://github.com/kubeflow/pipelines/pull/11753
  • chore(test): Replaced the unmaintained rerun action by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11784
  • chore(test): Bumped ubuntu runner to 24.04 in rerun-pr-jobs.yml by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11786
  • chore(deps): bump @babel/runtime and @material-ui/icons in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11787
  • chore(deps): bump axios from 1.6.0 to 1.8.2 in /frontend/server by @dependabot in https://github.com/kubeflow/pipelines/pull/11732
  • chore: Upgrade Argo Workflows to v3.5.14, use Argo-provided images by @gmfrasca in https://github.com/kubeflow/pipelines/pull/11783
  • feat(backend): Add a mutating webhook for the PipelineVersion kind by @mprahl in https://github.com/kubeflow/pipelines/pull/11782
  • increase stale action timers by @HumairAK in https://github.com/kubeflow/pipelines/pull/11792
  • Fix recurring run output when always using latest by @mprahl in https://github.com/kubeflow/pipelines/pull/11790
  • fix(sdk): allow google-cloud-storage < 4 by @parthea in https://github.com/kubeflow/pipelines/pull/11735
  • fix(local): warn about oci:// not supported too by @booxter in https://github.com/kubeflow/pipelines/pull/11794
  • fix(deployment): Update kustomize manifests to use new label and patch syntax by @milinddethe15 in https://github.com/kubeflow/pipelines/pull/11733
  • Handle optional pipeline inputs in the driver by @mprahl in https://github.com/kubeflow/pipelines/pull/11788
  • chore(test): Removed the no longer needed rerun-pr-jobs.yml by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11796
  • docs: mention that set_container_image works with dynamic images by @sradc in https://github.com/kubeflow/pipelines/pull/11795
  • fix setup env for kfp k8s lib tests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11798
  • feat(backend): implement logs as artifacts by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11762
  • (chore): add image builds for default branch by @HumairAK in https://github.com/kubeflow/pipelines/pull/11800
  • chore: Fix typos by @co63oc in https://github.com/kubeflow/pipelines/pull/11668
  • Revert "feat(backend): implement logs as artifacts (#11762)" by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11807
  • feat(backend): Add the ability to set a proxy for accessing external resources by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11771
  • chore(backend): removed tekton backend by @HumairAK in https://github.com/kubeflow/pipelines/pull/11813
  • feat(sdk): add upload pipeline and upload pipeline version from pipeline function by @strangiato in https://github.com/kubeflow/pipelines/pull/11804
  • update driver & launcher image handling by @HumairAK in https://github.com/kubeflow/pipelines/pull/11533
  • feat(backend): implement logs as artifacts + CI updates by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11809
  • chore(tests): remove unused logic by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11816
  • fix(tests): free up space in some test runners by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11818
  • fix(docs): Use the latest driver and launcher images in the dev environment by @mprahl in https://github.com/kubeflow/pipelines/pull/11820
  • fix(backend): Fix run submissions with OwnerReferencesPermissionEnforcement on by @mprahl in https://github.com/kubeflow/pipelines/pull/11821
  • chore(deps): bump @babel/runtime-corejs3 from 7.12.5 to 7.27.0 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11815
  • (chore): add cleanup resources to sdk execution tests by @HumairAK in https://github.com/kubeflow/pipelines/pull/11823
  • fix(components): Set tensorboardexperimentname to random uuid when uploading plots in Starry Net pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/11805
  • fix(deps): widen urllib3 upper bound to <3.0.0 by @dolfim-ibm in https://github.com/kubeflow/pipelines/pull/11819
  • fix(docs): Remove Podman as backend README pre-req by @alyssacgoins in https://github.com/kubeflow/pipelines/pull/11824
  • chore(test): Improved path filtering in the CI by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11806
  • chore: update release notes by @HumairAK in https://github.com/kubeflow/pipelines/pull/11827
  • chore: Add the OpenSSF Best Practices badge by @rimolive in https://github.com/kubeflow/pipelines/pull/11543
  • fix component retry test by @ntny in https://github.com/kubeflow/pipelines/pull/11836
  • chore(deps): bump golang.org/x/net from 0.36.0 to 0.38.0 in /test/tools/project-cleaner by @dependabot in https://github.com/kubeflow/pipelines/pull/11835
  • chore(backend): Optimized Dockerfiles by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11834
  • chore(deps): bump golang.org/x/net from 0.36.0 to 0.38.0 by @dependabot in https://github.com/kubeflow/pipelines/pull/11838
  • fix(sdk): Add SDK support for setting resource limits on older KFP versions by @mprahl in https://github.com/kubeflow/pipelines/pull/11839
  • add missing release note updates to sdk main branch by @HumairAK in https://github.com/kubeflow/pipelines/pull/11842
  • fix(backend): fixed Dockerfile by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11841
  • chore(sdk): update go toolchain patch by @HumairAK in https://github.com/kubeflow/pipelines/pull/11845
  • chore(deps): bump minimist from 1.2.5 to 1.2.8 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11846
  • chore(deps): bump torch from 1.0.0 to 2.6.0 in /samples/contrib/ibm-samples/ffdl-seldon/source/seldon-pytorch-serving-image by @dependabot in https://github.com/kubeflow/pipelines/pull/11848
  • chore(deps): bump sagemaker from 2.1.0 to 2.237.3 in /components/aws/sagemaker/TrainingJob/samples/mnist-kmeans-training by @dependabot in https://github.com/kubeflow/pipelines/pull/11847
  • chore(backend): fixed support for Podman in Makefile by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11844
  • chore(sdk): release kfp sdk 2.12.2 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11843
  • switch selenium image to ghcr by @HumairAK in https://github.com/kubeflow/pipelines/pull/11862
  • feat(backend/sdk): add backend support for toleration lists. by @HumairAK in https://github.com/kubeflow/pipelines/pull/11860
  • chore: Fix integration tests by @rimolive in https://github.com/kubeflow/pipelines/pull/11864
  • chore: fix kfp-kubernetes pipeline spec resolution errors by @HumairAK in https://github.com/kubeflow/pipelines/pull/11868

New Contributors

  • @anishasthana made their first contribution in https://github.com/kubeflow/pipelines/pull/11490
  • @ouadakarim made their first contribution in https://github.com/kubeflow/pipelines/pull/11538
  • @dandawg made their first contribution in https://github.com/kubeflow/pipelines/pull/11549
  • @akagami-harsh made their first contribution in https://github.com/kubeflow/pipelines/pull/11552
  • @SimonDR-Boltzmann made their first contribution in https://github.com/kubeflow/pipelines/pull/10762
  • @assu-2000 made their first contribution in https://github.com/kubeflow/pipelines/pull/11537
  • @chahatsagarmain made their first contribution in https://github.com/kubeflow/pipelines/pull/11575
  • @mahdikhashan made their first contribution in https://github.com/kubeflow/pipelines/pull/11567
  • @muzzlol made their first contribution in https://github.com/kubeflow/pipelines/pull/11623
  • @izuku-sds made their first contribution in https://github.com/kubeflow/pipelines/pull/11657
  • @tarekabouzeid made their first contribution in https://github.com/kubeflow/pipelines/pull/11656
  • @george-kuanli-peng made their first contribution in https://github.com/kubeflow/pipelines/pull/11676
  • @madmecodes made their first contribution in https://github.com/kubeflow/pipelines/pull/11750
  • @stijntratsaertit made their first contribution in https://github.com/kubeflow/pipelines/pull/11071
  • @lociko made their first contribution in https://github.com/kubeflow/pipelines/pull/11772
  • @Abhinav2777 made their first contribution in https://github.com/kubeflow/pipelines/pull/11753
  • @parthea made their first contribution in https://github.com/kubeflow/pipelines/pull/11735
  • @booxter made their first contribution in https://github.com/kubeflow/pipelines/pull/11794
  • @milinddethe15 made their first contribution in https://github.com/kubeflow/pipelines/pull/11733
  • @sradc made their first contribution in https://github.com/kubeflow/pipelines/pull/11795
  • @co63oc made their first contribution in https://github.com/kubeflow/pipelines/pull/11668
  • @strangiato made their first contribution in https://github.com/kubeflow/pipelines/pull/11804
  • @dolfim-ibm made their first contribution in https://github.com/kubeflow/pipelines/pull/11819
  • @alyssacgoins made their first contribution in https://github.com/kubeflow/pipelines/pull/11824

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.4.1...2.5.0

- Python
Published by HumairAK about 1 year ago

https://github.com/kubeflow/pipelines - sdk-2.13.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.13.0 For changelog, see release notes.

- Python
Published by HumairAK about 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.12.2

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.12.2 For changelog, see release notes.

- Python
Published by HumairAK about 1 year ago

https://github.com/kubeflow/pipelines - Version 2.4.1

What's Changed

  • fix(backend): Replaced hardcoded ServiceAccount with default config by @hbelmiro in #11578
  • chore: Remove License checker by @HumairAK in #11609
  • fix(backend): the metacontroller is broken since by @juliusvonkohout in #11608
  • fix(backend) fix run retry for argo by @ntny in #11585
  • fix(backend): parallelFor resolve upstream inputs. by @zazulam in #11627
  • fix(manifests): Upgrading metacontroller to v4.11.22 by @tarekabouzeid in #11656
  • fix(backend): ignore unknown fields for pb json unmarshaling by @HumairAK in #11662
  • chore: improved securitycontext for mysql by @juliusvonkohout in #11678
  • chore(backend): partially revert https://github.com/kubeflow/pipelines/commit/9afe23e74866f30f7333ea47abfe2d9efa4098c7 by @HumairAK in in #11713
  • fix(backend) fix execution-level retry on the Argo Workflows backend by @ntny in #11673
  • update driver/launcher images for 2.4.1 by @HumairAK in https://github.com/kubeflow/pipelines/pull/11717

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.4.0...2.4.1

- Python
Published by HumairAK over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.12.1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.12.1 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.12.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.12.0 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - Version 2.4.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here

Install python SDK (python 3.9 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

What's Changed

  • chore: Update RELEASE.md to remove obsolete instructions by @chensun in https://github.com/kubeflow/pipelines/pull/11183
  • chore: Release kfp-pipeline-spec 0.4.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11189
  • chore: release kfp-kubernetes 1.3.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11190
  • chore: update kfp-kubernetes release scripts and instructions by @chensun in https://github.com/kubeflow/pipelines/pull/11191
  • feat(sdk)!: Pin kfp-pipeline-spec==0.4.0, kfp-server-api>=2.1.0,<2.4.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11192
  • chore(sdk): release KFP SDK 2.9.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11193
  • replaced deprecated image repos with registry.k8s.io by @HumairAK in https://github.com/kubeflow/pipelines/pull/11152
  • chore: Set Python 3.9 as the Minimum Supported Version by @diegolovison in https://github.com/kubeflow/pipelines/pull/11159
  • chore(docs): clean up kfp-kubernetes documentation index page by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/11207
  • chore: move release instruction screenshots out of root directory by @chensun in https://github.com/kubeflow/pipelines/pull/11215
  • fix(ui): Fixes V1 Run detail unnecessary reloading. Fixes #10590 by @quinnovator in https://github.com/kubeflow/pipelines/pull/11214
  • fix(frontend): first time choosing a pipeline definition is VERY slow. Fixes #10897 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11130
  • chore: clean up obsolete requirements.txt under root directory by @chensun in https://github.com/kubeflow/pipelines/pull/11216
  • chore(components): GCPC 2.17.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/11213
  • chore: fix CI by adding a dependency of python/sdk for the e2e-test by @rimolive in https://github.com/kubeflow/pipelines/pull/11221
  • refactor: fix invalid escape sequences by @TheKevJames in https://github.com/kubeflow/pipelines/pull/11147
  • fix(backend): upgrade PyYMAL to fix metadata_writer build error by @chensun in https://github.com/kubeflow/pipelines/pull/11231
  • chore(deps-dev): bump elliptic from 6.5.5 to 6.5.7 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11127
  • chore(deps): bump fast-xml-parser and @aws-sdk/credential-providers in /frontend/server by @dependabot in https://github.com/kubeflow/pipelines/pull/11056
  • chore(deps): bump send and express in /frontend/server by @dependabot in https://github.com/kubeflow/pipelines/pull/11229
  • chore: add workflow to build images by @HumairAK in https://github.com/kubeflow/pipelines/pull/11232
  • fix(workflows): patch reversed launcher / driver in workflow matrix by @CarterFendley in https://github.com/kubeflow/pipelines/pull/11238
  • chore: Remove PaulinaPacyna from reviewers by @PaulinaPacyna in https://github.com/kubeflow/pipelines/pull/11242
  • test: Fixed kubeflow-pipelines-integration-v2 workflow by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11244
  • feat(sdk): Allow disabling default caching via a CLI flag and env var by @DharmitD in https://github.com/kubeflow/pipelines/pull/11222
  • feat(frontend/backend): Allow the ability to sort experiments by last run creation. Fixes #10884 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11163
  • chore: adding HumairAK to root OWNERS by @chensun in https://github.com/kubeflow/pipelines/pull/11253
  • feat(backend): add configurable S3 path style support by @ntny in https://github.com/kubeflow/pipelines/pull/11246
  • chore: adding @hbelmiro to backend reviewers by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11256
  • chore: pinned estroz/rerun-actions version by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11257
  • feat(backend): Remove PipelineSpec Template storage from ObjStore responsibilies. Fixes #10509 by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10790
  • fix(backend): randomizing output uri path to avoid overwriting. Fixes #10186 by @b4sus in https://github.com/kubeflow/pipelines/pull/11243
  • correct lastrun unittest timestamps by @HumairAK in https://github.com/kubeflow/pipelines/pull/11270
  • chore(deps): bump rollup from 2.63.0 to 2.79.2 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11254
  • chore(deps): bump webpack from 5.90.3 to 5.95.0 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11271
  • chore(doc): Update kfp-kubenetes release instructions. by @chensun in https://github.com/kubeflow/pipelines/pull/11276
  • fix(backend): set default value to true for ForcePathStyle by @zazulam in https://github.com/kubeflow/pipelines/pull/11281
  • fix(components): remove default prediction column names in evaluation regression component to fix issues with bigquery data source by @copybara-service in https://github.com/kubeflow/pipelines/pull/11282
  • feat(workflows): use built images in Github workflows by @CarterFendley in https://github.com/kubeflow/pipelines/pull/11284
  • test: Integrate Git Hub Action Results into Tide by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11262
  • chore(deps): bump golang.org/x/net from 0.0.0-20210726213435-c6fcb2dbf985 to 0.23.0 in /test/tools/project-cleaner by @dependabot in https://github.com/kubeflow/pipelines/pull/10728
  • Revert "chore(deps): bump golang.org/x/net from 0.0.0-20210726213435-… by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11297
  • chore: update SinglePlatformSpec and ComponentSpec for Vertex Platform speci… by @chenyifan-vertex in https://github.com/kubeflow/pipelines/pull/11298
  • feat: add fields in SinglePlatformSpec by @chenyifan-vertex in https://github.com/kubeflow/pipelines/pull/11299
  • test: Resolve ci-check failures in long-running CI tests by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11295
  • test: Fix failing SDK tests by creating Python virtual environment by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11300
  • feat(testing): use kustomize to patch deployments before deploy by @CarterFendley in https://github.com/kubeflow/pipelines/pull/11294
  • test: Disabled ci-check and add-ci-passed-label workflows. by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11306
  • chore(components): move old components to contrib folder by @chensun in https://github.com/kubeflow/pipelines/pull/11315
  • test: Enabled ci-check and add-ci-passed-label workflows by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11320
  • fix(tests): remove redundant integration test wf by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11322
  • adding chore as a new template. Fixes #11263 by @varodrig in https://github.com/kubeflow/pipelines/pull/11317
  • Add-Create-Experiment-button-when-selecting-experiement-final by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11332
  • feat(components): Add reservationaffinity support in v1.createcustomtrainingjobfromcomponent by @copybara-service in https://github.com/kubeflow/pipelines/pull/11330
  • feat(components)!: Deprecate preview.custom_job module by @copybara-service in https://github.com/kubeflow/pipelines/pull/11336
  • feat(api): add PipelineConfig to api to re-implement pipeline-level config by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/11333
  • feat(component): execute in a virtual env by @leseb in https://github.com/kubeflow/pipelines/pull/11326
  • feat(sdk): add PipelineConfig to DSL to re-implement pipeline-level config by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/11112
  • chore: fix release note by @chensun in https://github.com/kubeflow/pipelines/pull/11337
  • fix(components): Fix createcustomtrainingjobfrom_component default location by @copybara-service in https://github.com/kubeflow/pipelines/pull/11334
  • chore(components): Update docker base image to marketplace.gcr.io/google/ubuntu2404, which will install newer Python by @copybara-service in https://github.com/kubeflow/pipelines/pull/11338
  • chore(backend): typo in max concurrency error text by @Gkrumbach07 in https://github.com/kubeflow/pipelines/pull/11342
  • feat(backend): implement subdag output resolution by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11196
  • chore: upstream our authorization changes for oauth2-proxy by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11347
  • test: Fix ci-passed label update on PR synchronization by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11358
  • chore: Added cached layer for Go dependencies to Dockerfiles by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11348
  • chore: Update the generated cache proto file by @rimolive in https://github.com/kubeflow/pipelines/pull/11359
  • feat(sdk)!: stop auto-populating metrics as dag output by @chensun in https://github.com/kubeflow/pipelines/pull/11362
  • chore(sdk): release KFP SDK 2.10.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11364
  • chore(components): bump highest support KFP SDK version to 2.10.0 and highest support Python version to 3.13 by @copybara-service in https://github.com/kubeflow/pipelines/pull/11369
  • chore(sdk): remove kfp.deprecated from sdk, legacy samples, and legacy tests by @chensun in https://github.com/kubeflow/pipelines/pull/11366
  • chore: Updating Pytorch-Launcher component to work with pipelines v2 by @Fiona-Waters in https://github.com/kubeflow/pipelines/pull/11273
  • chore(components): remove upper limit on python_requires by @copybara-service in https://github.com/kubeflow/pipelines/pull/11371
  • fix(sdk): accelerator type setting in kfp by @HumairAK in https://github.com/kubeflow/pipelines/pull/11373
  • chore(sdk): support Python 3.13 by @chensun in https://github.com/kubeflow/pipelines/pull/11372
  • chore(api): release kfp-pipeline-spec 0.5.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11378
  • chore(sdk): release KFP SDK 2.10.1 by @chensun in https://github.com/kubeflow/pipelines/pull/11379
  • chore(sdk): release kfp-kubernetes 1.4.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11380
  • chore(backend): remove mentions of Argo Workflows from the pipelinerun by @ntny in https://github.com/kubeflow/pipelines/pull/11368
  • test: Added support for Python 3.13 to tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11376
  • chore(components): support KFP SDK 2.10.* by @copybara-service in https://github.com/kubeflow/pipelines/pull/11387
  • feat[frontend]: implement artifact-repositories configmap support by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11354
  • chore(components): User virtual env in GCPC Dockerfile and update incompatible dependencies by @copybara-service in https://github.com/kubeflow/pipelines/pull/11388
  • feat(cli): expose existing_token client property by @tumido in https://github.com/kubeflow/pipelines/pull/11400
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/11397
  • fix(backend): handle client side HTTP timeouts to fix crashes of metadata-writer. Fixes #8200 by @OutSorcerer in https://github.com/kubeflow/pipelines/pull/11361
  • fix(backend): stop heartbeat status updates for ScheduledWorkflows. Fixes #8757 by @demarna1 in https://github.com/kubeflow/pipelines/pull/11363
  • chore(deps): bump tornado from 6.3.3 to 6.4.2 in /backend/src/apiserver/visualization by @dependabot in https://github.com/kubeflow/pipelines/pull/11402
  • chore(deps-dev): bump elliptic from 6.5.7 to 6.6.0 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/11343
  • chore: Added Dockerfiles to .dockerignore by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11408
  • fix(ui): Disable GKE Metadata as default Fixes: #11247, fixes #11260 by @dvcanton in https://github.com/kubeflow/pipelines/pull/11403
  • chore: have ci check run from default branch by @HumairAK in https://github.com/kubeflow/pipelines/pull/11414
  • chore(components): Update Dockerfile by @copybara-service in https://github.com/kubeflow/pipelines/pull/11415
  • chore: add workflow to approve pr runs by @HumairAK in https://github.com/kubeflow/pipelines/pull/11416
  • chore(deps): bump tornado from 6.4.1 to 6.4.2 in /test/sample-test by @dependabot in https://github.com/kubeflow/pipelines/pull/11407
  • fix(backend): return error properly by @leseb in https://github.com/kubeflow/pipelines/pull/11424
  • feat(component): Created Snowflake data unload component by @ChaosEternal in https://github.com/kubeflow/pipelines/pull/11349
  • feat(components): add strategy to v1 GCPC custom job components/utils by @copybara-service in https://github.com/kubeflow/pipelines/pull/11286
  • fix(sdk): Add error handling. Fixes #11164 by @Yael-F in https://github.com/kubeflow/pipelines/pull/11356
  • fix(backend): remove unused function argument by @leseb in https://github.com/kubeflow/pipelines/pull/11425
  • chore: Fix pr-commands.yml to enable /ok-to-test alongside other commands by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11427
  • fix(sdk): Backport fixes in kubeflow/pipelines#11075 by @rimolive in https://github.com/kubeflow/pipelines/pull/11392
  • feat(backend): Add Parallelism Limit to ParallelFor tasks. Fixes #8718 by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10798
  • feat(sdk/backend): enable parameterization of container images by @HumairAK in https://github.com/kubeflow/pipelines/pull/11404
  • chore(components): release GCPC SDK 2.18.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/11435
  • feat: Introduce cache_key for cache key customization by @zzmao in https://github.com/kubeflow/pipelines/pull/11434
  • chore: add adr template/docs by @HumairAK in https://github.com/kubeflow/pipelines/pull/11437
  • chore(deps): bump path-to-regexp and express in /frontend/mock-backend by @dependabot in https://github.com/kubeflow/pipelines/pull/11444
  • fix(backend): Allow initializing the Kubernetes client with a kubeconfig by @mprahl in https://github.com/kubeflow/pipelines/pull/11443
  • chore(sdk): Upgrade kfp-pipeline-spec to 0.6.0 (#11434) by @zzmao in https://github.com/kubeflow/pipelines/pull/11447
  • chore(sdk): release kfp sdk 2.11.0 by @chensun in https://github.com/kubeflow/pipelines/pull/11451
  • chore: Added Kubernetes 1.30 and 1.31 to e2e tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11450
  • chore: Add instructions to develop the API server locally with kind by @mprahl in https://github.com/kubeflow/pipelines/pull/11459
  • chore: Added Kubernetes 1.30 and 1.31 to other tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11463
  • chore: Update test READMEs to reflect correct information on testing workflows by @DharmitD in https://github.com/kubeflow/pipelines/pull/11445
  • chore: Update image for metacontroller by @biswassri in https://github.com/kubeflow/pipelines/pull/11474
  • fix(backend): modelToCRDTrigger was not including periodic schedule correctly by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11475
  • fix(backend): upgrade various old dependencies by @HumairAK in https://github.com/kubeflow/pipelines/pull/11448
  • chore: Add securitycontext for PSS PoC (rootless Kubeflow) by @juliusvonkohout in https://github.com/kubeflow/pipelines/pull/11462
  • chore(deps): bump golang.org/x/crypto from 0.22.0 to 0.31.0 by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11482
  • test: fixes SDK tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11488
  • chore(tests): fixed conflicting artifacts names by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11491
  • chore(test): Fix SDK tests by @rimolive in https://github.com/kubeflow/pipelines/pull/11496
  • chore(backend): Fixed namespace in job creation by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11480
  • chore(backend): Fixed ServiceAccount in job creation by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11481
  • fix(backend): Synced ScheduledWorkflow CRs on apiserver startup by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11469
  • chore(deps): Update client-go and controller-runtime by @mprahl in https://github.com/kubeflow/pipelines/pull/11473
  • feat(sdk/backend): Add support for placeholders in resource limits by @mprahl in https://github.com/kubeflow/pipelines/pull/11501
  • chore: Add instructions to remote debug the Driver pods by @mprahl in https://github.com/kubeflow/pipelines/pull/11499
  • fix(backend): Use an Argo Workflow exit lifecycle hook for exit handlers by @mprahl in https://github.com/kubeflow/pipelines/pull/11470
  • nominate approver & reviewer for backend by @HumairAK in https://github.com/kubeflow/pipelines/pull/11507
  • nominate reviewers for backend by @HumairAK in https://github.com/kubeflow/pipelines/pull/11508
  • chore(deps): bump nanoid and mocha in /test/frontend-integration-test by @dependabot in https://github.com/kubeflow/pipelines/pull/11454
  • fix(frontend): Detailed information of nodes is not displayed when clicking the node. Fixes #11325 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11493
  • Fix the failing exit handler SDK execution tests by @mprahl in https://github.com/kubeflow/pipelines/pull/11519
  • chore: Address CVEs by @mprahl in https://github.com/kubeflow/pipelines/pull/11514
  • add remaining dockerfiles to build workflow by @HumairAK in https://github.com/kubeflow/pipelines/pull/11522
  • fix(frontend): Fix the frontend image build with Node 22 (#11524) by @HumairAK in https://github.com/kubeflow/pipelines/pull/11525
  • chore: switch to using gh container registry in manifests (#11526) by @HumairAK in https://github.com/kubeflow/pipelines/pull/11527
  • switch release/api generator images to ghcr (#11528) by @HumairAK in https://github.com/kubeflow/pipelines/pull/11530

New Contributors

  • @quinnovator made their first contribution in https://github.com/kubeflow/pipelines/pull/11214
  • @TheKevJames made their first contribution in https://github.com/kubeflow/pipelines/pull/11147
  • @CarterFendley made their first contribution in https://github.com/kubeflow/pipelines/pull/11238
  • @PaulinaPacyna made their first contribution in https://github.com/kubeflow/pipelines/pull/11242
  • @ntny made their first contribution in https://github.com/kubeflow/pipelines/pull/11246
  • @chenyifan-vertex made their first contribution in https://github.com/kubeflow/pipelines/pull/11298
  • @varodrig made their first contribution in https://github.com/kubeflow/pipelines/pull/11317
  • @leseb made their first contribution in https://github.com/kubeflow/pipelines/pull/11326
  • @Gkrumbach07 made their first contribution in https://github.com/kubeflow/pipelines/pull/11342
  • @tumido made their first contribution in https://github.com/kubeflow/pipelines/pull/11400
  • @OutSorcerer made their first contribution in https://github.com/kubeflow/pipelines/pull/11361
  • @demarna1 made their first contribution in https://github.com/kubeflow/pipelines/pull/11363
  • @dvcanton made their first contribution in https://github.com/kubeflow/pipelines/pull/11403
  • @ChaosEternal made their first contribution in https://github.com/kubeflow/pipelines/pull/11349
  • @Yael-F made their first contribution in https://github.com/kubeflow/pipelines/pull/11356
  • @biswassri made their first contribution in https://github.com/kubeflow/pipelines/pull/11474

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.3.0...2.4.0

- Python
Published by HumairAK over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.11.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.11.0 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.10.1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.10.1 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.10.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.10.0 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.9.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.9.0 For changelog, see release notes.

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - Version 2.3.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

What's Changed

  • chore: Update RELEASE.md by @chensun in https://github.com/kubeflow/pipelines/pull/10767
  • fix(components): Add input param autorater_prompt_parameters to online_evaluation_pairwise component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10759
  • feat(components): create infer preprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10765
  • feat(components): create utility class for preprocessors and use it in rlhf preprocessor and infer preprocessor by @copybara-service in https://github.com/kubeflow/pipelines/pull/10768
  • chore(sdk): drop Python 3.7 for kfp sdk by @rickyxie0929 in https://github.com/kubeflow/pipelines/pull/10750
  • chore: Promote @rimolive as a backend approver by @chensun in https://github.com/kubeflow/pipelines/pull/10780
  • feat(components): use preprocessor utility methods for the upload model graph by @copybara-service in https://github.com/kubeflow/pipelines/pull/10774
  • chore: upgrade node to v18 by @HumairAK in https://github.com/kubeflow/pipelines/pull/10794
  • feat(GH workflow): migrate periodic functional tests to GH actions by @shruti2522 in https://github.com/kubeflow/pipelines/pull/10751
  • chore: Add Container Engine and Image Tag parameters to backend Makefiles by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10725
  • chore: add meaningful logs to client initialization. by @HumairAK in https://github.com/kubeflow/pipelines/pull/10801
  • feat(kubernetesplatform): Update kubernetesplatform go package to include EnabledSharedMemory by @hsteude in https://github.com/kubeflow/pipelines/pull/10703
  • feat(components): Retry on batch prediction internal errors in AutoSxS by @copybara-service in https://github.com/kubeflow/pipelines/pull/10799
  • fix(components): Add staging and temp locations to prophet trainer component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10803
  • fix(components): Remove unused import function_based from infer pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10802
  • docs(components): Bump the python version to 3.8 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10764
  • chore(components): GCPC 2.14.1 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10813
  • chore(components): Rollback GCPC 2.14.1 Release due to b/339911077 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10818
  • chore(components): Add TaskError proto by @copybara-service in https://github.com/kubeflow/pipelines/pull/10823
  • chore(components): GCPC 2.14.1 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10821
  • feat(components): Create the writeuserdefined_error function by @copybara-service in https://github.com/kubeflow/pipelines/pull/10835
  • test: fix CI failure for periodic functional tests by @tmvfb in https://github.com/kubeflow/pipelines/pull/10817
  • chore(docs): Fix link by @haoxins in https://github.com/kubeflow/pipelines/pull/7533
  • chore: Update Periodic Functional Tests to run once a day by @DharmitD in https://github.com/kubeflow/pipelines/pull/10842
  • test: fix version conflict for functional tests by @tmvfb in https://github.com/kubeflow/pipelines/pull/10837
  • chore: server should skip sample load if path DNE by @DharmitD in https://github.com/kubeflow/pipelines/pull/10833
  • fix(frontend): reduce list run latency by @droctothorpe in https://github.com/kubeflow/pipelines/pull/10797
  • feat(components): Support parsing Gemini BP outputs in AutoSxS pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10853
  • feat(components): Use GetModel integration test to manually test writeuserdefined_error function by @copybara-service in https://github.com/kubeflow/pipelines/pull/10843
  • docs: modified the ConfigMap as Env variable example in README.md with right keyname within useconfigmapas_env() block. by @vamsi-01 in https://github.com/kubeflow/pipelines/pull/10855
  • fix(sdk): Add required auth scopes to RegistryClient for GCP service accounts credentials by @PChambino in https://github.com/kubeflow/pipelines/pull/10819
  • chore(deps): bump requests from 2.31.0 to 2.32.2 in /backend/src/apiserver/visualization by @dependabot in https://github.com/kubeflow/pipelines/pull/10858
  • chore: Change command to apply manifests in the docs by @rimolive in https://github.com/kubeflow/pipelines/pull/10864
  • fix(manifests): Move metacontroller to the top in kustmization.yaml by @codablock in https://github.com/kubeflow/pipelines/pull/10669
  • test: Migrate Backend tests to a GHA workflow by @DharmitD in https://github.com/kubeflow/pipelines/pull/10871
  • feat(backend): mount EmptyDir volumes for launcher write locations by @HumairAK in https://github.com/kubeflow/pipelines/pull/10857
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10874
  • feat(components): Add rolefieldname and modelname as input parameters to llmevaluation_preprocessor component to support gemini model's input and output schema by @copybara-service in https://github.com/kubeflow/pipelines/pull/10875
  • fix(components): add check and add log to call out the fallback to the default model checkpoint and remove the model checkpoint check condition in RLHF GCPC by @copybara-service in https://github.com/kubeflow/pipelines/pull/10828
  • test: migrate kubeflow-pipeline-e2e-test to GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10887
  • feat(components): Support dynamic machine type paramters in CustomTrainingJobOp by @KevinGrantLee in https://github.com/kubeflow/pipelines/pull/10883
  • fix(kubernetes_platform): fix api-generator docker mount for SELinux by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/10890
  • feat(components): Add Starry Net forecasting pipeline to public preview by @copybara-service in https://github.com/kubeflow/pipelines/pull/10888
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10906
  • feat(components): Update Starry Net image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10920
  • chore: Updated Python image to 3.8 in backend/Dockerfile by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10941
  • Expose starry_net yaml to GitHub by @chensun in https://github.com/kubeflow/pipelines/pull/10943
  • chore(sdk): release KFP SDK 2.8.0 by @chensun in https://github.com/kubeflow/pipelines/pull/10940
  • chore: Upgrade Python version to 3.8 in readthedocs config by @chensun in https://github.com/kubeflow/pipelines/pull/10945
  • feat(frontend&backend): Add UI support for object store customization and prefixes by @HumairAK in https://github.com/kubeflow/pipelines/pull/10787
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10958
  • chore(components): GCPC 2.15.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10951
  • docs(backend): Remove deprecated v2 compatibility mode docs by @droctothorpe in https://github.com/kubeflow/pipelines/pull/10956
  • Upgrade go version to 1.21 by @DharmitD in https://github.com/kubeflow/pipelines/pull/10911
  • chore: Add ability to mount self-signed certs to kfp by @DharmitD in https://github.com/kubeflow/pipelines/pull/10849
  • feat(components): add persistentresourceid to v1 GCPC custom job components/utils by @copybara-service in https://github.com/kubeflow/pipelines/pull/10954
  • chore: Added @rimolive, @hbelmiro and @DharmitD as approvers and reviewers for GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10963
  • test: Migrate KFP SDK YAPF test to a GHA Workflow by @DharmitD in https://github.com/kubeflow/pipelines/pull/10961
  • test: Created a new GitHub action to reuse the creation of a KFP cluster by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10946
  • test: kubeflow-pipeline-upgrade-test migrated to GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10932
  • test: Migrate Frontend tests to a GHA Workflow by @DharmitD in https://github.com/kubeflow/pipelines/pull/10972
  • test: install kfp on github periodic functional tests workflow by @tmvfb in https://github.com/kubeflow/pipelines/pull/10859
  • chore: Add an option to re-run GHA workflows by @rimolive in https://github.com/kubeflow/pipelines/pull/10930
  • chore(components): Update Starry Net description and add nan- and zero-threshold args by @copybara-service in https://github.com/kubeflow/pipelines/pull/10986
  • test: Moved KFP backend visualization tests to GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10984
  • test: Migrate KFP SDK Upgrade Test to GHA by @DharmitD in https://github.com/kubeflow/pipelines/pull/10989
  • test: Migrate KFP SDK Runtime Code Test to GHA by @DharmitD in https://github.com/kubeflow/pipelines/pull/10991
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/11000
  • chore(components): Fix bug due to protobuf library being upgraded by pinning protobuf version by @copybara-service in https://github.com/kubeflow/pipelines/pull/11007
  • chore(components): Add targetfieldname as input parameters to llmevaluationpreprocessor component to support gemini model's input and output schema by @copybara-service in https://github.com/kubeflow/pipelines/pull/11028
  • chore(components): Bump Starry Net images and enforce that TF Record generation always runs before test set generation to speed up pipelines runs by @copybara-service in https://github.com/kubeflow/pipelines/pull/11026
  • chore(components): Add check that component in preview.customjob.utils.createcustomtrainingjobfromcomponent doesn't have any parameters that share names with any custom job fields by @copybara-service in https://github.com/kubeflow/pipelines/pull/11033
  • feat(internal): Adding proto field to support regional quota by @copybara-service in https://github.com/kubeflow/pipelines/pull/11001
  • feat(kubernetes_platform): Add empty dir mount by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/10892
  • test: Migrate KFP SDK Execution Tests to GHA by @DharmitD in https://github.com/kubeflow/pipelines/pull/10975
  • test: Removed mkp tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10924
  • fix(sdk): Throw 'exit_task cannot depend on any other tasks.' error when an ExitHandler has a parameter dependent on other task by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11005
  • fix(docs): add note about protoc dependency and version by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/10895
  • chore: Adding @gregsheremeta to SDK reviewers. by @chensun in https://github.com/kubeflow/pipelines/pull/11042
  • chore: Adding @HumairAK to backend and frontend reviewers by @chensun in https://github.com/kubeflow/pipelines/pull/11043
  • fix(docs): IR -> Pipeline Spec by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/11031
  • test: Migrate miscellaneous SDK tests to GHA Workflow by @DharmitD in https://github.com/kubeflow/pipelines/pull/11032
  • chore: Adding @gregsheremeta to SDK reviewers (kubernetes_platform) by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/11044
  • test: Migrate KFP SDK Tests to GHA by @DharmitD in https://github.com/kubeflow/pipelines/pull/11037
  • chore: adding @hbelmiro to kubernetes_platform/OWNERS by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11045
  • test: Moved kfp-kubernetes-execution-tests to GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10926
  • add dev docs for kfp/sdk by @HumairAK in https://github.com/kubeflow/pipelines/pull/11046
  • feat(components): Support dynamic machine parameters in preview.customjob.utils.createcustomtrainingjobfromcomponent by @copybara-service in https://github.com/kubeflow/pipelines/pull/10974
  • test: Moved kubeflow-pipelines-samples-v2 to GitHub Actions by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11048
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11050
  • feat(component): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11049
  • test: Add script and GitHub Action for kfp-kubernetes-library by @diegolovison in https://github.com/kubeflow/pipelines/pull/11006
  • chore(components): GCPC 2.16.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/11065
  • fix: Incorrect typing in samples/cores/loopparallism and fixing loopparameter examples by @papagala in https://github.com/kubeflow/pipelines/pull/11062
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11070
  • chore: Fixed e2e tests by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11072
  • chore(components): Bump image version for Structured Data pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/11073
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11074
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11076
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11081
  • feat(api): Add new ResourceSpec proto fields to support dynamic values. by @KevinGrantLee in https://github.com/kubeflow/pipelines/pull/11075
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11082
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11083
  • docs: Fix environment variables names by @diegolovison in https://github.com/kubeflow/pipelines/pull/11013
  • feat(backend): move comp logic to workflow params by @zazulam in https://github.com/kubeflow/pipelines/pull/10979
  • feat(component): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11085
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11087
  • fix(components): Fix to model batch explanation component for Structured Data pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/11088
  • feat(components): Support dynamic values for bootdisktype, bootdisksize in preview.customjob.utils.createcustomtrainingjobfromcomponent by @copybara-service in https://github.com/kubeflow/pipelines/pull/11055
  • chore: Upgrade Argo to v3.4.17 (fixes #10977) by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10978
  • test: Moved kubeflow-pipelines-manifests to GitHub Actions by @VaniHaripriya in https://github.com/kubeflow/pipelines/pull/11066
  • fix: re-enable exit hanler test. by @liavweiss in https://github.com/kubeflow/pipelines/pull/11100
  • fix(frontend): retrieve archived logs from correct location by @droctothorpe in https://github.com/kubeflow/pipelines/pull/11010
  • feat(component): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11107
  • feat(component): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/11110
  • chore(components): GCPC 2.16.1 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/11111
  • test: Fail fast when image build fails on tests #11102 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11115
  • fix(components): Use instance.targetfieldname format for text-bison models only, use targetfieldname for gemini models by @copybara-service in https://github.com/kubeflow/pipelines/pull/11118
  • chore: Renamed GitHub workflows from *.yaml to *.yml for consistency by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11126
  • Fix view edit cluster roles by @papagala in https://github.com/kubeflow/pipelines/pull/11067
  • fix(components): Pass moddel name to eval_runner to process batch prediction's output as per the output schema of model used by @copybara-service in https://github.com/kubeflow/pipelines/pull/11119
  • feat(components): release LLM Model Evaluation image version v0.7 by @copybara-service in https://github.com/kubeflow/pipelines/pull/11128
  • chore: Adding @DharmitD to SDK reviewers by @DharmitD in https://github.com/kubeflow/pipelines/pull/11131
  • test: Kubeflow Pipelines V2 integration Tests by @diegolovison in https://github.com/kubeflow/pipelines/pull/11125
  • chore: Add make targets for building driver and launcher images by @gmfrasca in https://github.com/kubeflow/pipelines/pull/11103
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support EmptyDir by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/10913
  • docs:fixing broken links in readme by @Fiona-Waters in https://github.com/kubeflow/pipelines/pull/11108
  • chore(deps): bump micromatch from 4.0.5 to 4.0.8 in /test/frontend-integration-test by @dependabot in https://github.com/kubeflow/pipelines/pull/11132
  • Fix: Basic sample tests - sequential is flaky by @diegolovison in https://github.com/kubeflow/pipelines/pull/11138
  • chore: Wrapped "Failed GetContextByTypeAndName" error for better troubleshooting by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11098
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/11116
  • test: Improvements to waitforpods function by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11162
  • fix(frontend): fixes filter pipeline text box shows error when typing anything in it. Fixes #10241 by @ElayAharoni in https://github.com/kubeflow/pipelines/pull/11096
  • correct artifact preview behavior in UI by @HumairAK in https://github.com/kubeflow/pipelines/pull/11059
  • chore: Added DCO link to PR template by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11176
  • chore(backend): Update driver and launcher licenses by @chensun in https://github.com/kubeflow/pipelines/pull/11177
  • chore(backend): update driver and launcher default images by @chensun in https://github.com/kubeflow/pipelines/pull/11178
  • chore: Add instructions for releasing driver and launcher images by @chensun in https://github.com/kubeflow/pipelines/pull/11179
  • test: Fixed kfp-runtime-tests to run on master branch by @hbelmiro in https://github.com/kubeflow/pipelines/pull/11158
  • (fix): reduce executor logs by @HumairAK in https://github.com/kubeflow/pipelines/pull/11169
  • chore: add PaulinaPacyna and ouadakarim as reviewers by @chensun in https://github.com/kubeflow/pipelines/pull/11180
  • test: Move run-all-gcpc-modules to GitHub Actions by @aman23bedi in https://github.com/kubeflow/pipelines/pull/11157
  • fix(sdk): Kfp support for pip trusted host by @diegolovison in https://github.com/kubeflow/pipelines/pull/11151
  • chore(sdk): Loosening kubernetes dependency constraint by @egeucak in https://github.com/kubeflow/pipelines/pull/11079
  • chore: Remove unwanted Frontend test files by @DharmitD in https://github.com/kubeflow/pipelines/pull/10973
  • fix(ui): fixes empty string value in pipeline parameters by @jan-stanek in https://github.com/kubeflow/pipelines/pull/11175
  • chore(backend): update driver and launcher default images by @chensun in https://github.com/kubeflow/pipelines/pull/11182

New Contributors

  • @shruti2522 made their first contribution in https://github.com/kubeflow/pipelines/pull/10751
  • @tmvfb made their first contribution in https://github.com/kubeflow/pipelines/pull/10817
  • @vamsi-01 made their first contribution in https://github.com/kubeflow/pipelines/pull/10855
  • @PChambino made their first contribution in https://github.com/kubeflow/pipelines/pull/10819
  • @codablock made their first contribution in https://github.com/kubeflow/pipelines/pull/10669
  • @diegolovison made their first contribution in https://github.com/kubeflow/pipelines/pull/11006
  • @papagala made their first contribution in https://github.com/kubeflow/pipelines/pull/11062
  • @zazulam made their first contribution in https://github.com/kubeflow/pipelines/pull/10979
  • @VaniHaripriya made their first contribution in https://github.com/kubeflow/pipelines/pull/11066
  • @liavweiss made their first contribution in https://github.com/kubeflow/pipelines/pull/11100
  • @ElayAharoni made their first contribution in https://github.com/kubeflow/pipelines/pull/11115
  • @Fiona-Waters made their first contribution in https://github.com/kubeflow/pipelines/pull/11108
  • @aman23bedi made their first contribution in https://github.com/kubeflow/pipelines/pull/11157
  • @egeucak made their first contribution in https://github.com/kubeflow/pipelines/pull/11079
  • @jan-stanek made their first contribution in https://github.com/kubeflow/pipelines/pull/11175

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.2.0...2.3.0

- Python
Published by chensun over 1 year ago

https://github.com/kubeflow/pipelines - KFP SDK v2.8.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.8.0 For changelog, see release notes.

- Python
Published by chensun almost 2 years ago

https://github.com/kubeflow/pipelines - Version 2.2.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

What's Changed

  • feat(components): Report TensorBoard metrics for preview.llm.rlhf_pipeline in real time by @copybara-service in https://github.com/kubeflow/pipelines/pull/10595
  • feat(kubernetesplatform): Update kubernetesplatform go package to include generic ephemerl volume by @abaland in https://github.com/kubeflow/pipelines/pull/10602
  • fix(metadata envoy): upgrade envoy and config from 1.12 to 1.27 by @freefood89 in https://github.com/kubeflow/pipelines/pull/10589
  • fix(components): Remove the unused resolvedatapaths from function_based by @copybara-service in https://github.com/kubeflow/pipelines/pull/10606
  • chore: Add Question issue template by @rimolive in https://github.com/kubeflow/pipelines/pull/10557
  • feat(kubernetesplatform): Update kubernetesplatform go package to include node affinities and pod (anti)affinities by @cjidboon94 in https://github.com/kubeflow/pipelines/pull/10583
  • chore(components): Add test machine spec support to preview.llm pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/10616
  • fix(components): Ensure preview.llm.rlhf_pipeline runs if no tensorboard_id is provided by @copybara-service in https://github.com/kubeflow/pipelines/pull/10626
  • fix(components): Remove the unused functions from function_based by @copybara-service in https://github.com/kubeflow/pipelines/pull/10613
  • feat(components): Add model name preprocess component; Use publisher model if user uploaded model is non-tuned by @copybara-service in https://github.com/kubeflow/pipelines/pull/10620
  • feat(components): add task_type as a parameter to rlaif by @copybara-service in https://github.com/kubeflow/pipelines/pull/10607
  • feat(components): AutoSxS GA pending release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10628
  • fix(components): Update service account comment by @copybara-service in https://github.com/kubeflow/pipelines/pull/10636
  • chore(components): GCPC 2.12.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10635
  • fix(samples): Fix the loop_output.py example to handle the new parallel loop type requirement by @Tomcli in https://github.com/kubeflow/pipelines/pull/10637
  • feat(components): Added support for text-bison@002 to preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10641
  • chore(components): GCPC 2.13.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10644
  • fix(components): Make AutoSxS autoraterpromptparameters required by @copybara-service in https://github.com/kubeflow/pipelines/pull/10621
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10649
  • chore(components): Update kserve component to v0.12.0 by @Tomcli in https://github.com/kubeflow/pipelines/pull/10652
  • fix(backend): Update backend common code and integration tests with updated API Service Params by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10640
  • fix(Backend + SDK): Add missing optional field to SecretAsVolume and … by @revit13 in https://github.com/kubeflow/pipelines/pull/10550
  • chore(manifests): refactor manifests for kustomize5 compatibility. Part of #10053 by @rawc0der in https://github.com/kubeflow/pipelines/pull/10087
  • fix(components): Fix model eval import error in text generation/classification eval pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10655
  • chore(components): GCPC 2.13.1 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10666
  • chore(deps): bump follow-redirects from 1.6.1 to 1.15.6 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/10575
  • chore(deps): bump pillow from 10.0.1 to 10.3.0 in /backend/src/apiserver/visualization by @dependabot in https://github.com/kubeflow/pipelines/pull/10658
  • fix(components): Remove the unused generatedefaultinstruction and resolveuploadlocation from function_based by @copybara-service in https://github.com/kubeflow/pipelines/pull/10638
  • chore(deps): bump express from 4.18.2 to 4.19.2 in /frontend by @dependabot in https://github.com/kubeflow/pipelines/pull/10639
  • chore: Update argo images to 3.4.16 by @chensun in https://github.com/kubeflow/pipelines/pull/10618
  • feat(components): Use larger base reward model when tuning text and chat variants of bison@001 with the preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10663
  • chore(deps): bump follow-redirects from 1.5.10 to 1.15.6 in /frontend/server by @dependabot in https://github.com/kubeflow/pipelines/pull/10574
  • chore(sample): add note about secret needing to be pre-created by @gregsheremeta in https://github.com/kubeflow/pipelines/pull/10659
  • Chore(components): Clean up old ibm components by @Tomcli in https://github.com/kubeflow/pipelines/pull/10680
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10683
  • feat(sdk+backend): Add support for generic ephemeral volume by @abaland in https://github.com/kubeflow/pipelines/pull/10605
  • feat(components): Use larger base reward model when tuning t5-xxl with the preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10665
  • chore(backend): Promote @rimolive as the backend reviewer by @Tomcli in https://github.com/kubeflow/pipelines/pull/10689
  • chore(sdk): release kfp-kubernetes 1.2.0 by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10692
  • chore(sdk): make kfp-kubernetes release instructions public by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10693
  • chore(kfp-kubernetes): change type of affinity weight to int32 by @cjidboon94 in https://github.com/kubeflow/pipelines/pull/10671
  • fix(components): Fix image version parameter in rl pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/10698
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10694
  • feat(backend): Merge kfp-tekton backend code by @rimolive in https://github.com/kubeflow/pipelines/pull/10678
  • feat(backend): Upgrade argo to v3.4.16 by @gmfrasca in https://github.com/kubeflow/pipelines/pull/10568
  • feat(backend): add namespace & prefix scoped credentials to kfp-launcher config for object store paths by @HumairAK in https://github.com/kubeflow/pipelines/pull/10625
  • chore(deps): bump sqlparse from 0.4.4 to 0.5.0 in /backend/src/apiserver/visualization by @dependabot in https://github.com/kubeflow/pipelines/pull/10700
  • feat(components): add resolvereferencemodelmetadata to rlhfpreprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10612
  • feat(components): Move AutoSxS pipeline to v1 directory by @copybara-service in https://github.com/kubeflow/pipelines/pull/10701
  • feat(components): add resolvemachinespec and resolverefinedimageuri to rlhfpreprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10608
  • fix(components): remove default prediction column names in evaluation classification component to fix incorrect column names for bigquery data source by @copybara-service in https://github.com/kubeflow/pipelines/pull/10708
  • feat(components): Introduce placeholders: SERVICEACCOUNTPLACEHOLDER, NETWORKPLACEHOLDER, PERSISTENTRESOURCEIDPLACEHOLDER and ENCYRPTIONSPECKMSKEYNAMEPLACEHOLDER. In addition, use PERSISTENTRESOURCEIDPLACEHOLDER as the default value of persistentresourceid for CustomTrainingJobOp and createcustomtrainingjobopfromcomponent. With this change, custom job created without explicitly setting persistentresourceid will inherit job level persistentresourceid, if Persistent Resource is set as job level runtime by @copybara-service in https://github.com/kubeflow/pipelines/pull/10650
  • chore: Add kfp-tekton integration tests and manifests by @rimolive in https://github.com/kubeflow/pipelines/pull/10702
  • No public description by @copybara-service in https://github.com/kubeflow/pipelines/pull/10726
  • chore(components): Drop GCPC Python 3.7 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10730
  • feat(components): use rlhfpreprocessor to replace the current valueexists call in rlhf by @copybara-service in https://github.com/kubeflow/pipelines/pull/10584
  • chore(components): Drop support for Python 3.7 in GCPC by @copybara-service in https://github.com/kubeflow/pipelines/pull/10735
  • feat(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10707
  • feat(components): Expand regions supported by preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10710
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10749
  • chore(components): Change the warning for Python 3.8 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10755
  • feat(components): migrate functionbased resolvenummicrobatches to rlhfpreprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10604
  • chore(components): GCPC 2.14.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10754
  • feat(components): migrate functionbased converttodelimitedstring to rlhf_preprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10600
  • feat(components): Move ModelImportEvaluationOp component to preview namespace by @copybara-service in https://github.com/kubeflow/pipelines/pull/10712
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10763
  • feat(components): migrate functionbased resolveregionalendpoint to rlhfpreprocessor component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10603
  • chore(backend): update kfp launcher and driver images by @chensun in https://github.com/kubeflow/pipelines/pull/10733

New Contributors

  • @freefood89 made their first contribution in https://github.com/kubeflow/pipelines/pull/10589
  • @cjidboon94 made their first contribution in https://github.com/kubeflow/pipelines/pull/10583
  • @gmfrasca made their first contribution in https://github.com/kubeflow/pipelines/pull/10640
  • @rawc0der made their first contribution in https://github.com/kubeflow/pipelines/pull/10087
  • @gregsheremeta made their first contribution in https://github.com/kubeflow/pipelines/pull/10659

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.1.0...2.2.0

- Python
Published by chensun about 2 years ago

https://github.com/kubeflow/pipelines - Version 2.1.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

What's Changed

  • feat(components): Bump image tag used by preview.llm pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/10295
  • feat(components): Add num_microbatches to _implementation.llm training components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10248
  • chore(sdk): remove cleanup param in local init #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10293
  • feat(sdk): add local execution skeleton #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10292
  • fix(components): Use llama-2-7b for the base reward model when tuning llama-2-13 with the preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10249
  • feat(sdk): add local task dispatcher validation and ExecutorInput construction #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10298
  • test(sdk): install kfp-pipeline-spec from source in kfp sdk tests by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10300
  • fix(sdk): use kfp.dsl.types to replace kfp.components.types Fixes #10282 by @hsinhoyeh in https://github.com/kubeflow/pipelines/pull/10283
  • feat(components): Enable text generation pipeline to generate row based metrics by @copybara-service in https://github.com/kubeflow/pipelines/pull/10296
  • test(sdk): add placeholderutilstest.py by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10301
  • feat(component): Migrate AutoSxS pipeline to preview and move related files to _implementation/llm directory to help Model Eval team use side by side metrics as part of their pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10294
  • feat(components): Release new LLM Eval image version 0.5 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10313
  • chore(components): release GCPC 2.7.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10303
  • fix(components): Add autosxspipeline to the _all__ variable for the preview/model_evaluation directory by @copybara-service in https://github.com/kubeflow/pipelines/pull/10317
  • chore(components): release GCPC 2.8.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10316
  • feat(components): Add better docstrings for AutoSxS by @copybara-service in https://github.com/kubeflow/pipelines/pull/10320
  • test(components): INTERNAL by @copybara-service in https://github.com/kubeflow/pipelines/pull/10314
  • feat(sdk): add subprocess task handler #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10302
  • fix(components): Use large_model_reference as model_reference_name when uploading models from preview.llm.rlhf_pipeline instead of hardcoding value as text-bison@001 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10321
  • test(sdk): add kfp-kubernetes execution tests by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10304
  • fix(components): Resolve unique model display name on each preview.llm.rlhf_pipeline run instead of reusing cached result by @copybara-service in https://github.com/kubeflow/pipelines/pull/10322
  • fix(components): Upload the tuned adapter to Model Registry instead of model checkpoint from preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10323
  • feat(sdk): add local execution output collection #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10325
  • chore(sdk): fix use of invalid escape sequence in tests by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10310
  • feat(sdk): add local execution logging #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10326
  • chore(components): Fix argument description by @copybara-service in https://github.com/kubeflow/pipelines/pull/10327
  • feat(backend): preserve querystring in pipeline root (fixes #10318) by @TobiasGoerke in https://github.com/kubeflow/pipelines/pull/10319
  • feat(components): change output format to allow possible post eval by @copybara-service in https://github.com/kubeflow/pipelines/pull/10281
  • fix(frontend): Add disableParsingRawHTML option for markdown-to-jsx component by @zijianjoy in https://github.com/kubeflow/pipelines/pull/10315
  • feat(sdk): add DockerRunner #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10328
  • feat(sdk): add special dsl.OutputPath read logic #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10334
  • chore(sdk): write local execution logs to stdout #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10330
  • feat(sdk): support local Container Component execution #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10333
  • feat(components): Update RLHF env vars to handle empty string by @copybara-service in https://github.com/kubeflow/pipelines/pull/10331
  • feat(components): Output errors as a separate table from Arbiter by @copybara-service in https://github.com/kubeflow/pipelines/pull/10329
  • docs(components): Fix AutoSxS docstring formatting by @copybara-service in https://github.com/kubeflow/pipelines/pull/10341
  • chore(components): add json_escape placeholder util by @copybara-service in https://github.com/kubeflow/pipelines/pull/10351
  • fix(sdk): fix presentation of strings in local execution #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10353
  • fix(sdk): remove redundant newline character in local DockerRunner logs #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10354
  • test(sdk): improve KFP SDK local runner test safety #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10336
  • feat(backend): Enable logging for KFP components by @DharmitD in https://github.com/kubeflow/pipelines/pull/10288
  • feat(sdk): remove local execution feature flag #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10355
  • fix(sdk): permit empty local execution outputs #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10338
  • feat(sdk): support Concat and IfPresent placeholder in local container component execution #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10348
  • test(sdk): add test for local execution of None default parameter #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10339
  • chore(sdk): release KFP SDK 2.5.0 by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10364
  • chore(sdk): depend on protobuf 4 in kfp-pipeline-spec by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10305
  • docs(components): Document AutoML Tables util functions by @copybara-service in https://github.com/kubeflow/pipelines/pull/10359
  • feat(components): Implement the feature store grounding pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10332
  • feat(components): update eval pipeline documentation to clarify the required pipeline parameters by @copybara-service in https://github.com/kubeflow/pipelines/pull/10366
  • docs(components): update BigqueryQueryJobOp docs on container args limit by @copybara-service in https://github.com/kubeflow/pipelines/pull/10380
  • chore(components): GCPC 2.8.1 release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10381
  • feat(kubernetesplatform): Update kubernetesplatform go package to include pod labels and annotations by @Tomcli in https://github.com/kubeflow/pipelines/pull/10357
  • chore(sdk): depend on protobuf 4 in kfp and kfp-kubernetes by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10307
  • feat(components): Implement new output format of inference component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10375
  • chore(components): rollback GCPC 2.8.1 release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10385
  • chore(sdk): release KFP SDK 2.6.0 by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10386
  • chore(components): Add v1.model.ModelGetOp components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10226
  • chore(sdk): release kfp-kubernetes 1.1.0 by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10387
  • chore(sdk): update kfp-kubernetes docs versions and release scripts by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10388
  • docs(sdk): fix kfp-kubernetes docs build error by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10389
  • chore(components): Sync AutoML components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10372
  • fix(components): Update base image for KFP lightweight component for VPC SC compliance by @copybara-service in https://github.com/kubeflow/pipelines/pull/10374
  • chore: Fix metrics visualization v2 sample by @rimolive in https://github.com/kubeflow/pipelines/pull/10399
  • docs(sdk): add kfp.local to reference docs #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10395
  • chore(components): migrate GCPC to protobuf 4; require KFP>=2.6.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10401
  • feat(components): Support scheduling and labels in utils.build_payload by @copybara-service in https://github.com/kubeflow/pipelines/pull/10408
  • chore(components): Sync AutoML components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10415
  • feat(components): support aliases arg in ModelUploadOp by @copybara-service in https://github.com/kubeflow/pipelines/pull/10404
  • fix(sdk): fix string quotes by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10413
  • docs(components): Update AutoSxS pipeline to use "questionanswering" as task name instead of "questionanswer", where "question_answer" is still supported, but deprecated by @copybara-service in https://github.com/kubeflow/pipelines/pull/10361
  • fix(components): Update base image for KFP lightweight component for VPC SC compliance by @copybara-service in https://github.com/kubeflow/pipelines/pull/10421
  • chore(sdk): local task execution refactor + cleanup #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10420
  • fix(backend): MLMD pagination on getting executions of DAG by @hellojunha in https://github.com/kubeflow/pipelines/pull/10396
  • fix(components): Only run preview.llm.bulk_inference after tuning third-party models with RLHF by @copybara-service in https://github.com/kubeflow/pipelines/pull/10425
  • feat(components): Update LLM Evaluation Pipelines to use text-bison@002 model by default by @copybara-service in https://github.com/kubeflow/pipelines/pull/10428
  • chore(components): GCPC 2.9.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10432
  • chore(components): fix GCPC documentation dependencies issue by @copybara-service in https://github.com/kubeflow/pipelines/pull/10433
  • feat(components): Use a single inference component for AutoSxS by @copybara-service in https://github.com/kubeflow/pipelines/pull/10424
  • feat(sdk): support local pipeline execution #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10423
  • fix(components): Write model resource_name to the output of training pipeline remote runner by @copybara-service in https://github.com/kubeflow/pipelines/pull/10426
  • feat(sdk): support f-strings in local pipeline execution #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10435
  • feat(sdk): support for local execution of dsl.importer #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10431
  • fix(components): Update text generation pipeline input description by @copybara-service in https://github.com/kubeflow/pipelines/pull/10434
  • feat(sdk): support local execution of pipelines in pipelines #localexecution by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10440
  • fix(backend): correct run field map col names by @HumairAK in https://github.com/kubeflow/pipelines/pull/10430
  • chore(components): Create module containing AutoSxS and RLHF image tag by @copybara-service in https://github.com/kubeflow/pipelines/pull/10445
  • fix(components): Remove rowbasedmetric file path field in Model Evaluation resource's metadata when row based metrics is disabled by @copybara-service in https://github.com/kubeflow/pipelines/pull/10444
  • feat(sdk): Support dsl.ParallelFor over list of Artifacts by @KevinGrantLee in https://github.com/kubeflow/pipelines/pull/10441
  • feat(kubernetesplatform): Update kubernetesplatform go package to include ImagePullSecrets by @JosepSampe in https://github.com/kubeflow/pipelines/pull/10410
  • feat(kubernetesplatform): Update kubernetesplatform go package to include imagePullPolicy. by @revit13 in https://github.com/kubeflow/pipelines/pull/10416
  • chore(components): update image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10455
  • fix(sdk): fixes type issues for ParallelFor. Fixes #9366 by @rickyxie0929 in https://github.com/kubeflow/pipelines/pull/10436
  • feat(components): Add RLAIF pipeline to preview by @copybara-service in https://github.com/kubeflow/pipelines/pull/10377
  • fix(sdk): fix bug where dsl.OneOf with multiple consumers cannot be compiled by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10452
  • chore(components): Use new module for looking up ReFINED and AutoSxS image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10454
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ImagePullSecrets by @JosepSampe in https://github.com/kubeflow/pipelines/pull/10427
  • Fix(backend): fix timeout for internal server error. Fixes #10267 by @abaland in https://github.com/kubeflow/pipelines/pull/10439
  • fix(backend): get pipeline by name is broken due to version typo, Fixes #9940 by @cybernagle in https://github.com/kubeflow/pipelines/pull/10268
  • feat(kubernetesplatform): Update kubernetesplatform go package to include ConfigMaps as volumes and as env variables. by @roytman in https://github.com/kubeflow/pipelines/pull/10400
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support pod labels and annotations by @Tomcli in https://github.com/kubeflow/pipelines/pull/10393
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10472
  • feat(kubernetes_platform): Add ActiveDeadlineSeconds(timeout) to the kubernetes platform spec by @Tomcli in https://github.com/kubeflow/pipelines/pull/10464
  • chore(components): support jinja 3 in GCPC by @copybara-service in https://github.com/kubeflow/pipelines/pull/10479
  • test(components): Reduce sagemaker component test flakiness by @ananth102 in https://github.com/kubeflow/pipelines/pull/10225
  • chore(sdk): release KFP SDK 2.7.0 by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10461
  • fix(components): Use PipelineJob location in AutoSxS components, add init file by @copybara-service in https://github.com/kubeflow/pipelines/pull/10476
  • feat(kubernetesplatform): Add k8s FieldPath as env to the kubernetesplatform by @Tomcli in https://github.com/kubeflow/pipelines/pull/10485
  • chore: Add Tomcli as a backend approver by @chensun in https://github.com/kubeflow/pipelines/pull/10490
  • chore(components): Sync AutoML components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10492
  • chore(README): Update Kubeflow Pipelines on Tekton blog by @Tomcli in https://github.com/kubeflow/pipelines/pull/10482
  • chore(components): Rename several _implementation.llm components by @copybara-service in https://github.com/kubeflow/pipelines/pull/10474
  • feat(kubernetesplatform): Update kubernetesplatform go package to i… by @droctothorpe in https://github.com/kubeflow/pipelines/pull/10442
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10495
  • chore(components): bump highest support KFP SDK version in GCPC to KFP SDK 2.7.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10498
  • fix(backend): fixes "cannot save parameter" error message. Fixes #9678 by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10459
  • fix(rlhf): Supporting adapter only output for reward model training by @copybara-service in https://github.com/kubeflow/pipelines/pull/10503
  • chore(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10511
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10505
  • feat(components): Added experimental args to batchpredictionpairwise component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10497
  • chore(components): release GCPC SDK 2.10.0 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10516
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support tolerations by @droctothorpe in https://github.com/kubeflow/pipelines/pull/10471
  • feat(components): Add configurable image prefix to llm utility method by @copybara-service in https://github.com/kubeflow/pipelines/pull/10513
  • chore(components): internal change by @copybara-service in https://github.com/kubeflow/pipelines/pull/10512
  • feat(components): Add CMEK support to preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10456
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ConfigMaps as volumes and as env variables by @roytman in https://github.com/kubeflow/pipelines/pull/10483
  • feat(components): Release Forecasting training pipelines to V1 namespace by @copybara-service in https://github.com/kubeflow/pipelines/pull/10523
  • fix(sdk): Prevents dsl.ParallelFor over single parameter from compiling. by @KevinGrantLee in https://github.com/kubeflow/pipelines/pull/10494
  • fix(components): Pass tuned model checkpoint to inference pipeline after RLHF tuning by @copybara-service in https://github.com/kubeflow/pipelines/pull/10518
  • test: Add ParallelFor compile test over single artifact. by @KevinGrantLee in https://github.com/kubeflow/pipelines/pull/10531
  • fix(components): rename custom task calibrationscorerubric -> score_rubric by @copybara-service in https://github.com/kubeflow/pipelines/pull/10525
  • chore(components): Switch default machine type for LLM Text Generation Eval pipeline and components to e2-standard-4 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10522
  • fix(components): Propagate location to sub-components in AutoSxS by @copybara-service in https://github.com/kubeflow/pipelines/pull/10514
  • feat(backend + SDK): Add backend and SDK support to use Kubernetes FieldPath as env by @Tomcli in https://github.com/kubeflow/pipelines/pull/10496
  • chore(components): Change docker image URI used by preview.llm pipelines by @copybara-service in https://github.com/kubeflow/pipelines/pull/10536
  • fix(docs): Updated legal info due to migration from CLA to DCO by @hbelmiro in https://github.com/kubeflow/pipelines/pull/10501
  • feat(backend + SDK): Add Backend and SDK support for timeout in pod spec by @Tomcli in https://github.com/kubeflow/pipelines/pull/10481
  • fix(components): Return None as sliced feature attribution values for the classes which are not predicted in bp outputs by @copybara-service in https://github.com/kubeflow/pipelines/pull/10539
  • feat(components): Add CMEK validation to preview.llm.infer_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10519
  • feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ImagePullPolicy by @revit13 in https://github.com/kubeflow/pipelines/pull/10417
  • docs(components): fix create_custom_training_job_from_component docs rendering by @copybara-service in https://github.com/kubeflow/pipelines/pull/10541
  • feat(components): Implement the train time evaluation in reward model training. With the train time eval dataset available, the pipeline outputs the accuracy and cross entropy metrics to the log by @copybara-service in https://github.com/kubeflow/pipelines/pull/10369
  • fix(samples): Updated samples/core to V2 by @PratyushaRavi in https://github.com/kubeflow/pipelines/pull/9879
  • chore(components): Consolidate validation components in preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10543
  • feat(backend): Upgrade go version to 1.20 by @Tomcli in https://github.com/kubeflow/pipelines/pull/10502
  • docs(components): Modify the GetModel documentation by @copybara-service in https://github.com/kubeflow/pipelines/pull/10552
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10551
  • fix(backend): Fixes response status of http error code when uploading duplicate pipeline [Fixes #10311] by @champon1020 in https://github.com/kubeflow/pipelines/pull/10546
  • chore: Change stalebot rules by @rimolive in https://github.com/kubeflow/pipelines/pull/10547
  • fix(kubernetes_platform): Add optional field to SecretAsVolume and ConfigMapAsVolume. Fixes #10548 by @revit13 in https://github.com/kubeflow/pipelines/pull/10549
  • feat(components): Add CMEK support to AutoSxS pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10555
  • feat(components): Update LLMEVAL_VERSION to v0.6 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10565
  • chore(components): update container image of endpoint batch predict component for vulnerability patch by @copybara-service in https://github.com/kubeflow/pipelines/pull/10566
  • chore(backend): Update kfp driver and launcher images by @chensun in https://github.com/kubeflow/pipelines/pull/10561
  • fix(components): Add relevant component and pipeline inputs/outputs to support creating ModelEvaluations as part of the AutoSxS Metrics component by @copybara-service in https://github.com/kubeflow/pipelines/pull/10554
  • feat(components): Release Forecasting training pipelines to V1 namespace by @copybara-service in https://github.com/kubeflow/pipelines/pull/10569
  • feat(components): Add location validation to preview.llm.rlhf_pipeline by @copybara-service in https://github.com/kubeflow/pipelines/pull/10542
  • chore(components): Testing fix by @copybara-service in https://github.com/kubeflow/pipelines/pull/10576
  • fix(samples): Update resource_spec, retry, secret samples to v2 pipelines by @junggil in https://github.com/kubeflow/pipelines/pull/9876
  • fix: Modified the comment/text for pipelineversionid by @amadhusu in https://github.com/kubeflow/pipelines/pull/10581
  • chore(components): Update AutoSxS and RLHF image tags by @copybara-service in https://github.com/kubeflow/pipelines/pull/10582
  • chore: Update api-generator to use golang 1.20 by @chensun in https://github.com/kubeflow/pipelines/pull/10580
  • fix(docs): make full version dropdown show on all KFP SDK docs versions by @connor-mccarthy in https://github.com/kubeflow/pipelines/pull/10577
  • feat(components): Implement new component to preprocess and validate inputs for rlhf by @copybara-service in https://github.com/kubeflow/pipelines/pull/10480
  • chore(components): GCPC 2.11.0 Release by @copybara-service in https://github.com/kubeflow/pipelines/pull/10573
  • fix(components): Fix missing pipeline parameters by @copybara-service in https://github.com/kubeflow/pipelines/pull/10587
  • chore: Update release image by @chensun in https://github.com/kubeflow/pipelines/pull/10599
  • fix: Modified the swagger json files according to the modified proto files. by @amadhusu in https://github.com/kubeflow/pipelines/pull/10591
  • feat(components): Copy text generation eval and text classification evak pipelines from preview to v1 by @copybara-service in https://github.com/kubeflow/pipelines/pull/10586
  • docs(components): internal by @copybara-service in https://github.com/kubeflow/pipelines/pull/10556

New Contributors

  • @TobiasGoerke made their first contribution in https://github.com/kubeflow/pipelines/pull/10319
  • @rimolive made their first contribution in https://github.com/kubeflow/pipelines/pull/10399
  • @hellojunha made their first contribution in https://github.com/kubeflow/pipelines/pull/10396
  • @HumairAK made their first contribution in https://github.com/kubeflow/pipelines/pull/10430
  • @KevinGrantLee made their first contribution in https://github.com/kubeflow/pipelines/pull/10441
  • @JosepSampe made their first contribution in https://github.com/kubeflow/pipelines/pull/10410
  • @revit13 made their first contribution in https://github.com/kubeflow/pipelines/pull/10416
  • @cybernagle made their first contribution in https://github.com/kubeflow/pipelines/pull/10268
  • @roytman made their first contribution in https://github.com/kubeflow/pipelines/pull/10400
  • @hbelmiro made their first contribution in https://github.com/kubeflow/pipelines/pull/10459
  • @PratyushaRavi made their first contribution in https://github.com/kubeflow/pipelines/pull/9879
  • @champon1020 made their first contribution in https://github.com/kubeflow/pipelines/pull/10546
  • @amadhusu made their first contribution in https://github.com/kubeflow/pipelines/pull/10581

Full Changelog: https://github.com/kubeflow/pipelines/compare/2.0.5...2.1.0

- Python
Published by chensun about 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.7.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.7.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.6.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.6.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.5.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.5.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - Version 2.0.5

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 2 years ago

https://github.com/kubeflow/pipelines - Version 2.0.4

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.4.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.4.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.4.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.4.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - Version 2.0.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 2 years ago

https://github.com/kubeflow/pipelines - Version 2.0.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.3.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.3.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.2.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.2.0 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.1.3

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.1.3 For changelog, see release notes.

- Python
Published by connor-mccarthy over 2 years ago

https://github.com/kubeflow/pipelines - Version 2.0.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun almost 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.1.2

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.1.2 For changelog, see release notes.

- Python
Published by connor-mccarthy almost 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.1 For changelog, see release notes.

- Python
Published by connor-mccarthy almost 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0 For changelog, see release notes.

- Python
Published by connor-mccarthy almost 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun almost 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-rc.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-rc.2 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Linchin almost 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0-rc.2

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==sdk-2.0.0-rc.2 For changelog, see release notes.

- Python
Published by connor-mccarthy almost 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b5

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b5 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b3

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b3 For changelog, see release notes.

Note: kfp==2.0.0b2 release has been discarded.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b7

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b7 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b8

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b8 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b9

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b9 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b10

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b10 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b11

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b11 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b13

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b13 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b1 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b15

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b15 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.22

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.22 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0-rc.1

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0-rc.1 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b17

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b17 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-rc.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-rc.1 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by jlyaoyuli about 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-beta.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-beta.2 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.21

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.21 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v2.0.0b16

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==2.0.0b16 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-beta.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-beta.1 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Linchin about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.20

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.20 For changelog, see release notes.

- Python
Published by connor-mccarthy about 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.7

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.7 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun about 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.19

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.19 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-beta.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-beta.0 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by gkcalat over 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.18

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.18 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.17

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.17 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.16

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.16 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.15

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.15 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.6

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.6--upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by gkcalat over 3 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.5

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.5 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun over 3 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.14

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.14 For changelog, see release notes.

- Python
Published by connor-mccarthy over 3 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.5

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by gkcalat over 3 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.4

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by gkcalat almost 4 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.4

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.4 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by gkcalat almost 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by gkcalat almost 4 years ago

https://github.com/kubeflow/pipelines - KFP SDK v1.8.13

Release of the KFP SDK only.

To install the KFP SDK: bash pip install kfp==1.8.13 For changelog, see release notes.

- Python
Published by connor-mccarthy almost 4 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.7 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.3 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun almost 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun almost 4 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.2--upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Linchin about 4 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.1 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Linchin about 4 years ago

https://github.com/kubeflow/pipelines - Version 2.0.0-alpha.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==2.0.0-alpha.0 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun about 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.1-rc.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.8.1rc0 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here or via UI here

Install python SDK (python 3.7 above) by running:

bash python3 -m pip install kfp kfp-server-api --upgrade

See the Change Log

- Python
Published by chensun over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0-rc.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.8.0rc3 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0-rc.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.8.0rc2 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by chensun over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0-rc.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.8.0rc1 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by zijianjoy over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0-rc.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.8.0rc0 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by zijianjoy over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.8.0-alpha.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.1 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.1 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by zijianjoy over 4 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0 --upgrade

Refer to: * Upgrade Notes with notices and breaking changes * Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0-rc.4

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0rc4 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0-rc.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0rc3 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0-rc.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0rc2 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0-alpha.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0a2 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.7.0-alpha.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.7.0a1 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.5.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.5.0 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy almost 5 years ago

https://github.com/kubeflow/pipelines - Backend v1.6.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api==1.6.0 --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - Backend Version 1.6.0-rc.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api --pre --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - Version 1.5.0

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install kfp-server-api package (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api --upgrade

See the Change Log

NOTE, kfp python SDK is NOT included and released separately.

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - Version 1.5.0-rc.3

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install python kfp-server-api (python 3.6 above) by running:

bash python3 -m pip install kfp-server-api --pre --upgrade

See the Change Log.

Note, kfp python SDK is not included and released separately.

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - Version 1.5.0-rc.2

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install python SDK (python 3.6 above) by running:

bash python3 -m pip install kfp kfp-server-api --pre --upgrade

See the Change Log

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - Version 1.5.0-rc.1

To deploy Kubeflow Pipelines in an existing cluster, follow the instruction in here.

Install python SDK (python 3.6 above) by running:

bash python3 -m pip install kfp kfp-server-api --pre --upgrade

See the Change Log

- Python
Published by Bobgy about 5 years ago

https://github.com/kubeflow/pipelines - SDK Version 0.5.2

This is a release of the Kubeflow Pipelines SDK to address a potential security vulnerability. There is no corresponding backend release.

Install the KFP sdk via:

pip install kfp==0.5.2

- Python
Published by Bobgy about 5 years ago