pypots - v1.0🍻The 1st major version comes

We enabled PatchTST and Autoformer to work on the classification task. In addition, some reported bugs from the community have been fixed. 👍Kudos to our new contributor @zltututu!

Considering the major functionalities in the current stage have all been implemented and we have researched a stable version, this version is released as the 1st major version of PyPOTS as v1.0. This is our new milestone, and let's move forward towards v2.0!

What's Changed

Fix runtime error in ModernTCN when using multiple layers by @zltututu in https://github.com/WenjieDu/PyPOTS/pull/751
Fix the unintended overwriting issue in TimesNet by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/756
Add classification PatchTST by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/757
Add classification Autoformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/758
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/759
Release v1.0 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/760

New Contributors

@zltututu made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/751

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.19...v1.0

- Python
Published by WenjieDu 11 months ago

pypots - v0.19📈Implement 3 models for forecasting

MICN, DLinear, and FiLM are implementation for time series forecasting.

What's Changed

Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/743
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/746
Add forecasting MICN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/747
Add forecasting DLinear by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/748
Add forecasting FiLM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/749
Add forecasting FiLM, DLinear, MICN, and release v0.19 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/750

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.18...v0.19

- Python
Published by WenjieDu 12 months ago

pypots - v0.18🔍Implement 10 models on anomaly detection

iTransforme, Crossforme, Pyraformer, FEDformer, Informer, Transformer, ETSformer, TimeMixer, Nonstationary Tr., and FiLM are implemented on the anomaly detection task.

What's Changed

Add 10 new anomaly detection algorithms by @yyysjz1997 in https://github.com/WenjieDu/PyPOTS/pull/738
Add 10 new models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/739
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/741
Update docs and release v0.18 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/742

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.17...v0.18

- Python
Published by WenjieDu about 1 year ago

pypots - v0.17 Five algos added to anomaly detection

TimeMixer++, SCINet, DLinear, TimesNet, and Reformer are implemented on the anomaly detection task.

👍Kudos to our new contributors Yiyuan @yyysjz1997 and Pavel @Durakavalyanie!

What's Changed

Add anomaly detection TimesNet by @yyysjz1997 in https://github.com/WenjieDu/PyPOTS/pull/725
Fix unused nsamplingtimes argument in CSDI.predict by @Durakavalyanie in https://github.com/WenjieDu/PyPOTS/pull/730
Implement Reformer for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/732
Implement SCINet for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/733
Implement DLinear for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/734
Implement TimeMixerPP for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/735
Update the staling workflow and the PR template by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/731
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/736
Release v0.17 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/737

New Contributors

@yyysjz1997 made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/725
@Durakavalyanie made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/730

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.16...v0.17

- Python
Published by WenjieDu about 1 year ago

pypots - v0.16 Three forecasting algos implemented

ModernTCN, TimesNet, and SegRNN are implemented on the forecasting task in this release.

What's Changed

Add forecasting TimesNet by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/705
Update dependency versions for development environment by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/709
Update some CI configs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/713
Fix AttributeError: 'NoneType' object has no attribute 'endswith' in TimeLLM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/712
Add sentencepiece to dependencies of dev env by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/715
Exempt issues and PRs with 'potential bug' label from staling by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/716
Add forecasting ModernTCN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/717
Add forecasting SegRNN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/720
Add issue manger to auto close completed issues by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/721
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/722
Decrease anomaly rate in CI testing to avoid GPT4TS outputting NaNs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/723
Release v0.16 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/724
Fix failed issue manager by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/728
Fix failed greeting workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/727

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.15...v0.16

- Python
Published by WenjieDu about 1 year ago

pypots - v0.15⚡️Three New Algos

In this release, TimeMixer++, TOTEM, and TSLANet are included and have been implemented on the imputation task.

What's Changed

Add TimeMixer++ by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/691
Bump the least version of Python to 3.9 in GitHub CI workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/698
Add TOTEM modules and IMPU TOTEM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/694
Add TSLANet modules and IMPU TSLANet by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/696
Release v0.15 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/700
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/702
Publish to Docker Hub by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/703

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.14...v0.15

- Python
Published by WenjieDu about 1 year ago

pypots - v0.14🕵Six Anomaly Detection Models Implemented

This new release implements TEFN, ImputeFormer, SAITS, PatchTST, SegRNN, and Autoformer for anomaly detection. Moreover, models now output their latents #674, which are returned as a part of dict results in pypots.{task_name}.{model_name}.core._{mode_name}.forward(). A model-saving bug (#668) has been fixed that may result in the best model state not being properly loaded/saved.

Refer to the below changelog for more details.

What's Changed

Fix the bug that model state not a deep copy by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/668
build(deps): bump actions/setup-python from 3 to 5 by @dependabot in https://github.com/WenjieDu/PyPOTS/pull/636
Fix failed CLAS TEFN with ROC AUC<0.5 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/671
Add ANOD Autoformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/672
Update docs to add ANOD package by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/673
Output model latents and refactor the framework by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/674
Fix OOM TimeLLM when testing by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/676
Use agreed names to distinguish data at different stages by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/678
Fix the bug that calc_criterion() not callable on multiGPUs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/681
Implement SAITS for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/684
Fix failed docs building by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/685
Implement TEFN for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/686
Implement ImputeFormer for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/687
Implement PatchTST for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/688
Implement SegRNN for anomaly detection by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/689
Release v0.14 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/690

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.13...v0.14

- Python
Published by WenjieDu about 1 year ago

pypots - v0.13🤩Five classification models implemented

TS2Vec (pypots.vec.ts2vec) is included in PyPOTS for representation learning and vectorization on POTS data. TEFN, iTransformer, SAITS, TimesNet, and the new added TS2Vec are implemented for classification. Note that, from this version, classification category results are output as key classification of the returned dictionary, and classification probabilities are returned as key classification_proba instead. Function predict_proba() is added to all classification models for users to obtain classification probabilities directly.

Several bugs are fixed in this release. Refer to the changelog below for details.

What's Changed

build(deps): bump actions/checkout from 3 to 4 by @dependabot in https://github.com/WenjieDu/PyPOTS/pull/635
build(deps): bump conda-incubator/setup-miniconda from 2 to 3 by @dependabot in https://github.com/WenjieDu/PyPOTS/pull/637
Fix the bug data and mode not on same device by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/631
Fix failed CRLI, Koopa, and USGAN on multiple GPUs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/633
Omit not-trained LLM parts when saving models to decrease file sizes by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/640
Add TS2Vec by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/642
Add model.eval() at the beginning of predict() to avoid potential bug by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/643
Add classification TS2Vec by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/644
Fix wrong dim when concatenating eval labels in pypots.classification.base by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/646
Add classification SAITS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/649
Update testing configs and issue templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/647
Add classification TimesNet by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/651
Add classification iTransformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/656
Add classification TEFN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/657
Refactoring to make trainingloss/validationmetric/optimizer accept class type by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/660
Fix map_location err by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/661
MakeCriterion take logits by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/659
Unify _train_model() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/662
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/658
Add predict_proba() for classification models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/664
Release v0.13 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/665

New Contributors

@dependabot made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/635

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.12...v0.13

- Python
Published by WenjieDu about 1 year ago

pypots - v0.12🤘Add MOMENT for forecasting&imputation

MOMENT, a time-series foundation model, is added in this version and has been implemented on the tasks of forecasting and imputation. We also fix a bug that user customized training loss was not applied to some models #610. Moreover, please note that we unify the names of arguments patching length and patching stride for models utilizing patch embedding proposed in PatchTST #628.

What's Changed

Fix bug that given customized loss not applied to some models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/610
Apply decorator @torch.no_grad() to simplify predict() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/612
Load pickled data file with pd.read_pickle for pandas>=2 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/614
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/615
Add Dependabot by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/617
Add attribute amp_enabled to switch autocast by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/620
Implement MOMENT on imputation and forecasting tasks by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/622
Fix bug that devices not consistent by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/626
Unify the name of patch size and stride by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/628
Update docs and fix linting errors by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/629
Add the script to run full test by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/624
Release v0.12 and bump TSDB to v0.7.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/630
Release v0.12 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/634

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.11...v0.12

- Python
Published by WenjieDu about 1 year ago

pypots - v0.11📈Six algos for forecasting

We make Time-LLM, TEFN, FITS, TimeMixer, GPT4TS, and Transformer work on the forecasting task (still accept POTS as input) for you in this release of v0.11

Additionally, we conduct some refactorings in this version: 1. AMP (Automatic Mixed Precision) is enabled for LLM-based model training. Users can switch it on by specifying the env var ENABLE_AMP #594; 2. pypots tuning is now renamed into pypots hpo #592; 3. pypots environment variables are capitalized #591; 4. all data preprocessing functions are removed from pypots, and users are encouraged to fully use BenchPOTS instead, which includes processing pipelines for 172 public datasets #585;

What's Changed

Refactor some parts by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/586
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/587
Remove data prerprocessing pipelines and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/588
Capitalize env vars and rename PyPOTS tuning module into hpo by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/593
Enable AMP (Automatic Mixed Precision) in PyPOTS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/594
Add pypots.forecasting.Transformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/597
Add pypots.forecasting.FITS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/600
Add pypots.forecasting.TEFN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/602
Add pypots.forecasting.TimeMixer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/603
Add pypots.forecasting.TimeLLM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/604
Add pypots.forecasting.GPT4TS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/605
Fix x and x_mark shape not consistent bug in forecasting TimeMixer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/607
Release v0.11 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/608

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.10...v0.11

- Python
Published by WenjieDu about 1 year ago

pypots - v0.10🦙LLMs coming

We make the following main updates in this new release:

added Time-LLM and GPT4TS;
enabled users to customize their training loss and evaluation metric for models;
fixed an argument-order error in CRPS loss calculation;
fixed a bug that data and model not on the same device when applying a list of CUDA devices;

Kudos to our new contributors @c-lyu and @giacomoguiduzzi 👍!

What's Changed

Fix CRPS loss calculation by @c-lyu in https://github.com/WenjieDu/PyPOTS/pull/565
Fix wrong order of arguments when calling calcquantileloss by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/566
Enable to customized loss and val funcs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/526
Implement TimeLLM as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/567
Make pytest ignore LLM-based testing cases by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/569
Enable customizing training loss and val metric, add Time-LLM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/570
Refactor deprecated torch.cuda.amp.autocast by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/521
Expose more models for tuning, bump dependency PyGrinder version num, and overwrite torch.autocast by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/572
Refactor CSAI imputation & classification by @LinglongQian in https://github.com/WenjieDu/PyPOTS/pull/552
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/573
Update CSAI, refactor code and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/574
Fix a bug that data and model are not on the same device when CUDA device list is applied by @giacomoguiduzzi in https://github.com/WenjieDu/PyPOTS/pull/563
Update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/576
Fix potential bug that data and model not on the same cuda device, update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/577
Implement GPT4TS for time series imputation by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/579
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/580
Including GPT4TS and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/581
Update Docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/582
Update docs and release v0.10 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/583

New Contributors

@c-lyu made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/565
@giacomoguiduzzi made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/563

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.9...v0.10

- Python
Published by WenjieDu about 1 year ago

pypots - v0.9💫New Algos FITS/SegRNN/CSAI/TRMF

In this release, PyPOTS brings you new models FITS, SegRNN, CSAI, and TRMF. Kudos👍 to our new contributors Shengsheng @lss-1138 and Joseph @joseph-arulraj!

What's Changed

Add FITS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/522
Update docs and configs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/530
Add FITS imputation model and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/531
CSAI Pipeline by @joseph-arulraj in https://github.com/WenjieDu/PyPOTS/pull/534
add csai test cases by @LinglongQian in https://github.com/WenjieDu/PyPOTS/pull/535
Add SegRNN Implementation by @lss-1138 in https://github.com/WenjieDu/PyPOTS/pull/537
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/538
Implement SegRNN as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/539
Fix CSAI cannot accept dataset files for lazy loading by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/545
Update the stale workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/547
Add SegRNN testing cases by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/548
Update docs for CSAI by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/549
Update the stale workflow and docs, add SegRNN tests by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/550
Add TRMF imputation method by @AugustJW in https://github.com/WenjieDu/PyPOTS/pull/556
Integrate raw TRMF implementation into PyPOTS by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/560
Update docs and dependency versions by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/561
Release v0.9 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/562

New Contributors

@joseph-arulraj made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/534
@lss-1138 made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/537

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.8.1...v0.9

- Python
Published by WenjieDu over 1 year ago

pypots - v0.8.1 🪲 Fix model saving issues

We fixed two model-saving issues in some conditions: 1. unintended overwrite of the existing model file when calling func .save() even with arg overwrite default to False; 2. model_saving_strategy=best does not work and pypots still save every better model;

What's Changed

Fix unintended overwrite saving by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/516
Update condadevenv.yml by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/517
Fix unintended overwrite when saving models and update conda dependencies by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/518
model_saving_strategy=best does not work by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/514
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/523
Fix model saving issue and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/524
Fix error link to Reformer on openreview by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/527
Update docs and release v0.8.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/528

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.8...v0.8.1

- Python
Published by WenjieDu over 1 year ago

pypots - v0.8 🚀 New models

We bring you new models ModernTCN (ICLR 2024), TimeMixer (ICLR 2024), and TEFN in this release ;-)

Kudos to our new contributors Eljas (@eroell) and Tianxiang (@ztxtech)!

What's Changed

Update testing workflows and dependencies, and refactor by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/482
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/483
Initialize the client of Gungnir and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/484
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/487
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/489
Refactor Gungnir logging and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/490
Allow failure when PR gets merged before jobs get finished by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/492
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/493
Update tsdb.loaddataset to tsdb.load in doc of loadspecific_dataset by @eroell in https://github.com/WenjieDu/PyPOTS/pull/494
Doc update Quickstart Example by @eroell in https://github.com/WenjieDu/PyPOTS/pull/497
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/498
Implement TimeMixer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/499
Update the docs for TimeMixer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/500
Add TimeMixer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/501
Implement ModernTCN as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/502
Add ModernTCN docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/503
Add ModernTCN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/504
Add TEFN model by @ztxtech in https://github.com/WenjieDu/PyPOTS/pull/505
Add TEFN and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/507
Apply line-length=120 to black format by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/509
Import random walk funcs from BenchPOTS and add AI4TS as a dependency by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/510
Apply line-length=120 to refactor code, update dependencies and pre-commit config by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/512

New Contributors

@eroell made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/494
@ztxtech made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/505

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.7.1...v0.8

- Python
Published by WenjieDu over 1 year ago

pypots - v0.7.1 Fix missing load_specific_dataset()

Previously we removed pypots.data.loadspecificdatasets packages since the preprocessing functions have been all gathered and managed in BenchPOTS. The removal caused some incompatibility (see #474), hence we added it back in this minor version. But it still will be deprecated in the near future and we encourage users to use BenchPOTS for dataset preprocessing, which now supports 170+ public time series datasets. Also, we 1. added a visualization function to plot the map of attention weights. 👍Kudos to Anshu @gugababa for his contribution; 2. deprecated setup.py and added pyproject.toml to config the project;

What's Changed

Visualize attention matrix in SAITS by @gugababa in https://github.com/WenjieDu/PyPOTS/pull/302
Add attention map visualization func by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/475
Gather requirements in one dir by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/477
Add toml config and gather dependency files by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/478
Add pyproject.toml, gather dependency files, and fix flake8 with toml config file by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/480
Fix missing loadspecificdataset(), update testing_daily workflow, release v0.7.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/481

New Contributors

@gugababa made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/302

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.7...v0.7.1

- Python
Published by WenjieDu almost 2 years ago

pypots - v0.7 New Algos & Bug Fix

Update summary for v0.7 release:

included ImputeFormer [KDD'24], kudos👍 to @tongnie, also the author of ImputeFormer;
implemented Lerp (Linear Interpolation), thanks👍 to @colesussmeier;
added TCN as an imputation model, with SAITS embedding and training methodology applied;
fixed a minor bug in RevIN for POTS data;
fixed failed model saving when model_saving_strategy is set as better;
added pypots.data.utils.inverse_sliding_window func to help restore time series samples sliced by sliding_window func;

What's Changed

Make the number of max steps adjustable in TimesNet by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/438
Enable to restore from sliding_window() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/441
Add inverse_sliding_window() and enable TimesNet to work with len>5000 samples by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/442
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/443
Use inspect to fetch models arguments and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/444
Expose new models for tuning, add getclassfull_path(), and test visual funcs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/447
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/448
Make classification GRUD more robust, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/449
Update Imputeformer by @tongnie in https://github.com/WenjieDu/PyPOTS/pull/450
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/452
Add ImputeFormer, fix RevIN, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/454
Implement Linear Interpolation (Lerp) Imputation Method by @colesussmeier in https://github.com/WenjieDu/PyPOTS/pull/459
Update docs conf by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/461
Add Lerp as an imputation method and update the docs config by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/462
Update dependencies in conda env files by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/463
Update docs and conda env dependencies by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/465
Add TCN as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/467
Add TCN and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/468
Fix saving failed when the strategy is 'better' by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/469
Use xeLatex engine to avoid Unicode error by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/472
Fix failed saving strategy "better", update docs, and release v0.7 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/470

New Contributors

@tongnie made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/450
@colesussmeier made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/459

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.6...v0.7

- Python
Published by WenjieDu almost 2 years ago

pypots - v0.6 🔥🪭 Nine New Models

In v0.4 and v0.5, PyPOTS brought you new models. Now, let's fan🪭 the frame🔥 in v0.6! 1. Non-stationary Transformer, Pyraformer, Reformer, SCINet, RevIN, Koopa, MICN, TiDE, StemGNN are included in this new release; 2. another new PyPOTS Ecosystem library BenchPOTS has been released and supports preprocessing pipelines of 170 public time series datasets for benchmarking machine learning on POTS data; 3. add the argument verbose to mute all info level logging;

👍 Kudos to our new contributor @LinglongQian.

Please refer to the changelog below for more details.

What's Changed

Implement Non-stationary Transformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/388
Implement Pyraformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/389
Add Nonstationary Transformer and Pyraformer, update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/390
Treat keyboard interruption during training as a warning, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/391
Add SCINet modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/406
Add RevIN modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/407
Add Koopa modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/403
Add MICN modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/401
Update docs and references by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/410
Add TiDE modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/402
Add Koopa, SCINet, RevIN, MICN and TiDE, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/412
Add StemGNN modules and implement it as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/415
Add GRU-D as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/417
Update README and docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/420
Implement StemGNN and GRU-D as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/421
Update setrandomseed() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/423
Enable tuning new added models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/424
ETSformer hyperparameters mismatch during NNI tuning by @LinglongQian in https://github.com/WenjieDu/PyPOTS/pull/425
Fix ETSformer tuning bug, and release v0.6rc1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/427
Add arg verbose to control logging by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/428
Add Reformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/433
Add Reformer, add option version to control training log, and add benchpots as a dependency by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/434
Raise the minimum support python version to v3.8 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/436
Fix linting error by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/437

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.5...v0.6

- Python
Published by WenjieDu almost 2 years ago

pypots - v0.6 Pre-release

This pre-release version is for public beta testing.

- Python
Published by WenjieDu about 2 years ago

pypots - v0.5 🔥 New Models & Features

Here is the summary of this new version's changelog:

the modules of iTransformer, FiLM, and FreTS are included in PyPOTS. The three have been implemented as imputation models in this version;
CSDI is implemented as a forecasting model;
MultiHeadAttention is enabled to manipulate all attention operators in PyPOTS;

What's Changed

Fix failed doc building, fix a bug in generandomwalk(), and refactor unit testing configs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/355
Implement CSDI as a forecasting model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/354
Update the templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/356
Implement forecasting CSDI and update the templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/357
Update README by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/359
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/362
Implement FiLM as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/369
Implement FreTS as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/370
Implement iTransformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/371
Add iTransformer, FreTS, FiLM by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/372
Fix failed CI testing on macOS with Python 3.7 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/373
Add SaitsEmbedding, fix failed CI on macOS with Python3.7, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/374
Fix error in generandomwalk by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/375
Try to import torch_geometric only when init Raindrop by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/381
Enable all attention operators to work with MultiHeadAttention by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/383
Fix a bug in generandomwalk, import pyg only when initing Raindrop, and make MultiHeadAttention work with all attention operators by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/384
Refactor code and update docstring by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/385
添加中文版README文件 by @Justin0388 in https://github.com/WenjieDu/PyPOTS/pull/386
Refactor code and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/387

New Contributors

@Justin0388 made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/386

We also would like to thank Sijia @phoebeysj, Haitao @CowboyH, and Dewang @aizaizai1989 for their help in polishing Chinese README.

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.4.1...v0.5

- Python
Published by WenjieDu about 2 years ago

pypots - v0.4.1 🚧 Refactor&Modularization

In this refactoring version, we 1. applied SAITS loss function to the newly added imputation models (Crossformer, PatchTST, DLinear, ETSformer, FEDformer, Informer, and Autoformer) in v0.4, and add the arguments MIT_weight and ORT_weight in them for users to balance the multi-task learning; 2. modularized all neural network models and put their modules in the package pypots.nn.modules; 3. removed deprecated metric funcs (e.g. pypots.utils.metrics.cal_mae that has been replaced by pypots.utils.metrics.calc_mae);

What's Changed

Apply SAITS loss to newly added models and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/346
Modularize neural network models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/348
Modularize NN models, remove deprecated metric funcs, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/349
Remove pypots.imputation.locf.modules and add assertions for BTTF by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/350
Test building package during CI by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/353
Avoid the import error MessagePassing not defined by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/351

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.4...v0.4.1

- Python
Published by WenjieDu about 2 years ago

pypots - v0.4 🔥 New models

apply the SAITS embedding strategy to models Crossformer, PatchTST, DLinear, ETSformer, FEDformer, Informer, and Autoformer to make them applicable to POTS data as imputation methods;
fix a bug in USGAN loss function;
gather several Transformer embedding methods into the packagepypots.nn.modules.transformer.embedding;
add the attribute best_epoch for NN models to record the best epoch num and log it after model training;
make the self-attention operator replaceable in the class MultiHeadAttention for Transformer models;
rename the argument d_inner of all models in previous versions into d_ffn. This is for unified argument naming and easier understanding;
remove deprecated functions save_model() and load_model() in all NN model classes, which are now replaced by save()and load();

What's Changed

Removing deprecated functions by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/318
Add Autoformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/320
Removing deprecated savemodel and loadmodel, adding the imputation model Autoformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/321
Simplify MultiHeadAttention by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/322
Add PatchTST as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/323
Renaming dinner into dffn by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/325
Adding PatchTST, renaming dinnner into dffn, and refactoring Autofomer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/326
Add DLinear as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/327
Add ETSformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/328
Add Crossformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/329
Add FEDformer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/330
Add Crossformer, Autoformer, PatchTST, DLinear, ETSformer, FEDformer as imputation models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/331
Refactor embedding package, remove the unused part in Autoformer, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/332
Make the self-attention operator replaceable in Transformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/334
Add informer as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/335
Speed up testing procedure by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/336
Add Informer, speed up CI testing, and make self-attention operator replaceable by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/337
debug USGAN by @AugustJW in https://github.com/WenjieDu/PyPOTS/pull/339
Fix USGAN loss function, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/340
Add the attribute best_epoch to record the best epoch num by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/342
Apply SAITS embedding strategy to new added models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/343
Release v0.4, apply SAITS embedding strategy to the newly added models, and update README by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/344

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.3.2...v0.4

- Python
Published by WenjieDu about 2 years ago

pypots - v0.3.2 Bugfix

fixed an issue that stopped us from running Raindrop on multiple CUDA devices;
added Mean and Median as naive imputation methods;

What's Changed

Refactor LOCF, fix Raindrop on multiple cuda devices, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/308
Remind how to display the figs rather than invoking plt.show() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/310
Update the docs and requirements by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/311
Fixing some bugs, updating the docs and requirements by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/312
Make CI workflows only test with Python v3.7 and v3.11 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/313
Update the docs and release v0.3.2 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/314
Add mean and median as imputation methods, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/317

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.3.1...v0.3.2

- Python
Published by WenjieDu about 2 years ago

pypots - v0.3.1

A bug in the calculation of the delta matrix (time-decay matrix) discussed in #294 gets fixed in this update.

What's Changed

Update logo URLs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/293
Fixing the issue in delta calculation by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/297
Fixing the issue in time-decay matrix calculation and simplify the code by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/298
Roll back the delta calculation of M-RNN to the same with GRU-D by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/300

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.3...v0.3.1

- Python
Published by WenjieDu over 2 years ago

pypots - v0.3 coming with new features 😎

Happy New Year, dear friends! 🥳

New features and updated APIs in PyPOTS are brought to you here! In v0.3, we

added TimesNet as an imputation model;
simplified the structure of val_set. In previous versions, you had to give indicating_mask in the dictionary val_set that tells PyPOTS to use which values to validate the model. Now you only need to give X_ori (i.e. X_intact before) and X, both leaving their missing data as NaNs. PyPOTS will handle everything left to evaluate the model for you;
enabled PyPOTS to tune hyperparameters for external models (implemented with the PyPOTS framework but haven't been integrated into PyPOTS);
updated the package pypots.data.saving. Separated the functions for pickle saving and h5py saving, and added load_dict_from_h5 that can inverse (deserialize) the process of save_dict_into_h5;
fixed some bugs (#255, #263, #266, #280, #282, #286, #289);

What's Changed

Code refactor by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/251
Adding TimesNet as an imputation model by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/252
Adding TimesNet, refactoring code, and updating docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/253
Fixing CSDI gtmask bug by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/255
Fixing CSDI gt_mask issue, and setting a fixed random seed for testing cases by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/256
Making CSDI return all nsamplingtimes imputation samples by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/258
Adding getrandomseed(), and adding func calcquantilecrps() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/260
Making CSDI val process same as the original by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/262
Fix missing argument attn_dropout in imputation Transformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/263
Adding visualization functions by @AugustJW in https://github.com/WenjieDu/PyPOTS/pull/267
Add cluster plotting functions in pypots.utils.visualization by @vemuribv in https://github.com/WenjieDu/PyPOTS/pull/182
Fixing unstable nonstationary norm, adding utils.visual, and doing some code refactoring by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/266
Updating package pypots.data.saving by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/268
Enabling to tune hyperparameters for outside models implemented with PyPOTS framework by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/269
Simplifying the structure of valset, and using a consistent strategy when lazy-loading valset by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/272
Renaming Xintact into Xori, and adding matplotlib as a dependency by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/274
Simplifying valset, renaming Xintact, and adding unit tests for the visual package by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/275
Update GP-VAE by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/277
Updating GP-VAE, adding loaddictfrom_h5, etc. by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/278
Adding checkinputs() for error calculation functions by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/279
Fixing CSDI, adding placeholder for epoch num in logging by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/280
Fixing the infinite loop in LOCF by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/282
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/285
Updating docs, fixing CSDI&LOCF&MRNN, and adding the strategy to save all models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/284
Making PyPOTS able to save all models during training, checking if dmodel=nheads*d_k for SAITS and Transformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/287
Fixing MRNN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/286
Fix issues in MRNN and update the hyperparameter tuning functionality by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/288
Fixing the type error of random_seed in pypots.cli.tuning and updating the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/289
Updating loaddictfrom_h5() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/290

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.2.1...v0.3

- Python
Published by WenjieDu over 2 years ago

pypots - v0.2.1

Here are updates,

for missing values after LOCF imputation (that are missing since the first step hence LOCF doesn't work), we added more options to handle them. Please refer to the argument first_step_imputation in LOCF docs. The default option is "zero" in previous versions, but we've changed it to "backward" which is more reasonable;
enabled SAITS to return latent attention weights from blocks in predict() for advanced analysis e.g. in #178;
renamed model saving and loading functions savemodel() and loadmodel() into save() and load();

What's Changed

Check if X_intact contains missing data for imputation models, check and list mismatched hyperparameters in the tuning mode by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/234
Make SAITS return attention weights in predict() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/239
Adding other options for the first step imputation in LOCF by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/240
Fixing the problem about staling issues by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/244
Testing with Python 3.11 and support it by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/246
Rename savemodel() and loadmodel() into save() and load() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/247
Refactoring savemodel() and loadmodel(), and updating docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/249

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.2...v0.2.1

- Python
Published by WenjieDu over 2 years ago

pypots - v0.2

PyPOTS v0.2 🤗

In PyPOTS v0.2 this new version, we

enabled hyperparameter tuning for all NN algorithms;
fixed a bug in the updating strategy of term F in CRLI;
replaced the license GPL-v3 with BSD-3-Clause that has less constraints;
announced PyPOTS ecosystem;

What's Changed

Adding tsdb and pygrinder into the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/212
Fixing disappeared TSDB and PyGrinder by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/213
Replacing PyCorruptor with PyGrinder by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/215
Merge the docs of PyPOTS ecosystem, and replace pycorruptor with pygrinder in pypots by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/216
Clone TSDB and PyGrinder repos to use their latest code and docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/217
Install from source code to use the latest docs of TSDB and PyGrinder by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/219
Install from TSDB and PyGrinder repos to use their latest docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/220
Enable hyperparameter tuning with NNI framework by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/221
Fixing dependency error in testing_CI workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/223
Enable hyperparameter tuning with NNI, fix dependency error in testing_CI, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/224
Fix the bug in the updating strategy of term F in CRLI by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/226
Apply BSD-3 license, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/228
Fix a bug in CRLI, switch to BSD-3 license by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/229
Update version limitations on dependencies, and install dependencies in PyPI publishing workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/230

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.1.4...v0.2

- Python
Published by WenjieDu over 2 years ago

pypots - v0.1.4

v0.1.4 is here 🥳

In this new version, we made the following changes:

added the imputation model CSDI;
added the unified method predict() for all models to run inference on the given test set;
enabled clustering algorithms to select the best model on the validation set;
fixed the bug that GP-VAE failed to run on CUDA devices;
made SAITS to use customized loss function specified by users;

What's Changed

Add the method predict() for all models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/199
Refactor algorithms' module structure, enable customized loss function in SAITS, enable GP-VAE to run on CUDA, etc. by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/201
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/202
Make clustering algorithms to select the best model according to the loss on a given validation set by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/204
Fixing failed CI testing due to dependency installation error by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/206
Adding the model CSDI by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/208
Refactoring, and updating the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/209
Adding CSDI, updating the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/210

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.1.3...v0.1.4

- Python
Published by WenjieDu over 2 years ago

pypots - v0.1.3

🤗 v0.1.3 is out here

In this release, we mainly 1. added new models US-GAN and GP-VAE for the imputation task on POTS data; 2. appended util functions save_dict_into_h5() to help users directly save a dataset from a Python Dictionary into an HDF5 file that can be used by models in PyPOTS with lazy-loading strategy to save RAM and CUDA memory; 3. added internal clustering validation measures to help evaluate clustering models; 4. enabled PyPOTS clustering models to return their latent representation for advanced analysis, e.g. internal clustering validation; 5. added learning-rate schedulers for optimizers;

👍 Kudos to our new contributors, @AugustJW and @vemuribv! The above points 1 and 3 are implemented by them that enrich this release and make it happen here.

😎 More awesome features are on the road. Stay tuned or join us to make them happen!

What's Changed

Adding the package to store frequently-used modules; by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/170
feat: add Transformer encoder, decoder, and decoder_layer; by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/172
Adding the package pypots/modules, and appending modules of vanilla Transformer by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/173
Add internal clustering validation measures to pypots.utils.metrics by @vemuribv in https://github.com/WenjieDu/PyPOTS/pull/179
Add savedictintoh5() and slidingwindow(), add .gitignore, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/180
Merge dev into pr/176 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/181
Fixing failed doc build by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/186
Fixing the failed workflow Autoreply to Issues Opened for PyPOTS and update the PR template by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/184
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/188
add models GP-VAE/USGAN by @AugustJW in https://github.com/WenjieDu/PyPOTS/pull/176
Refactor testing cases by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/189
Add models US-GAN and GP-VAE, update docs, refactor testing cases, add calinternalclustervalidationmetrics() by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/190
Extract latent from clustering models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/192
Add internal and external cluster validation funcs, and enable CRLI and VaDER to return latent for advanced analysis by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/193
Add learning-rate schedulers by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/195
Add learning-rate schedulers for optimizers, and by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/196
Releasing v0.1.3; by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/197

New Contributors

@vemuribv made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/179
@AugustJW made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/176

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.1.2...v0.1.3

- Python
Published by WenjieDu over 2 years ago

pypots - v0.1.2

PyPOTS v0.1.2

In this new version, we mainly fix some bugs, update the docs, and update TSDB changed APIs to keep compatible with it.

What's Changed

Update logging, and fix the error in the usage example by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/131
Fix single-item device list throwing an error by @MaciejSkrabski in https://github.com/WenjieDu/PyPOTS/pull/133
Fix the single-item device list error, update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/134
Specifying the version of protobuf<=4.21.12 to fix issue #135 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/136
Update docs and citation info by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/140
Fix daily testing by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/143
Fixing failed daily testing with MacOS python 3.7, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/144
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/148
Fixing the bug in raindrop when running on multiple devices by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/149
Updating docs, and fixing the bug in raindrop when running on multiple devices by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/150
Fixing the invalid badge of PyPI downloads by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/152
Updating stale workflow, and updating docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/154
Update actions/stale@v8, and fix docs typo by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/156
fix: the type hint for function mcar() in comments by @yhzhu99 in https://github.com/WenjieDu/PyPOTS/pull/157
Update the greeting workflow, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/159
Updating workflows and docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/162
Fixing the bug caused by changed tsdb api, updating the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/166
Updating docs and releasing v0.1.2 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/167

New Contributors

@yhzhu99 made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/157

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.1.1...v0.1.2

- Python
Published by WenjieDu almost 3 years ago

pypots - v0.1.1

PyPOTS v0.1.1 is here! And we bring you parallel training on multiple GPUs 🚀

In this new version, we

enable PyPOTS to run on multiple CUDA devices to train models in parallel. NOW you can further speed up your model training in PyPOTS 🥳;
add the imputation model M-RNN;
add the optimizer Adadelta;

What's Changed

Use relative imports replace absolute ones by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/117
Add optimizer Adadelta, and fix issue #116 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/118
Docs auto param type hints by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/119
Use sphinxautodoctypehints to auto gene type hints for params, and improve docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/120
Enable parallel training on multi GPUs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/122
skip multi-gpu test if not multi-gpu host by @MaciejSkrabski in https://github.com/WenjieDu/PyPOTS/pull/124
Enable models to run on multiple CUDA devices by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/125
Add model MRNN by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/126
Add model M-RNN, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/127
Fix VaDER failed testing and MRNN failed training on multiple devices by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/128

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.1.0...v0.1.1

- Python
Published by WenjieDu about 3 years ago

pypots - v0.1.0

PyPOTS v0.1 is released! 🎉🎉🎉

In this new version, we

separated each model into a single package, for better standardization and easier management in the library;
added model templates, for each task to assist PyPOTS contributors to quickly add new models;
isolated optimizers from models, 1). to separate hyperparameters and avoid putting all of them in one place, which could result in a mess and be not readable; 2). to provide additional functionalities in the near future, such as learning rate scheduling, etc.
Documentations are formally released! 🚀 Visit PyPOTS website to see them;

What's Changed

Try to automatically fix the exception ValueError raised by gmm.fit() during VaDER training by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/62
Fix the exceptionValueError raised by gmm.fit() during VaDER training, update README, move logo figs, and remove version.py by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/63
Add pypots-cli dev by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/66
Add pre-commit and enable pre-commit hooks to check code before commtting by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/68
Add pre-commit config file and update issue templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/69
Add unit-test cases for pypots-cli by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/72
Fix bugs in the code-coverage report by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/73
Add devcontainer config by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/76
Tutorial release, new features, and bug fix by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/75
Fix dependency error in daily testing by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/77
Add PR template, and make the dependencies consistent in all config files by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/78
Update READE, and separate the number of trainable parameters with commas by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/79
Fix the footer issue on the docs home page, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/81
Update the docs with the pages installation and about_us added by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/82
Add the documentation pages of FAQ and examples by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/83
Enable different model saving strategies with argument model_saving_strategy by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/84
Make each model a single package by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/86
Fix failed docs building, update the docs, and allow tests for CLI to fail by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/89
Fix failed daily-testing workflow, rename filesdataset.py into data.py, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/91
Add gtag to the docs site by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/92
Update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/93
Update the documentation by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/94
Fix the corrupted testing badge caused by renaming the workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/95
Move tests from dir pypots to the root dir by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/96
Fix not shown heading Attributes in docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/98
Fix not shown heading Attributes in docs, and update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/99
Should use package pypots as the source for code coverage calculation, rather than tests by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/101
Update docs, and fix the misdisplayed footer on the page References by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/103
Create package pypots.optim to separate optimizers from models by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/106
Add package pypots.optim to separate optimizers from models, and update docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/107
Update the docs for version 0.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/104
Update the docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/108
Update the docs, and refactor the code by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/109
Add .coveragerc to omit files in templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/111
Add model templates, and release v0.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/110
Fix the failed auto release workflow with missing dependencies by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/113

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.0.11...v0.1

- Python
Published by WenjieDu about 3 years ago

pypots - v0.0.11

PyPOTS v0.0.11 is released now! 🤩

In this new version, we

1️⃣. added issue templates to help our community open issues properly in different categories; 2️⃣. enabled a code-linting workflow applying Flake8; 3️⃣. implemented the training log saving feature, which can help PyPOTS users better know models' performance during the training stage so that now tuning hyper-parameters is easier; 4️⃣. eased dependency management with file setup.cfg; 5️⃣. fixed an emergency bug🐞 "tensors not on the same device" when running on CUDA devices❗️

Also, together with this release, we initialize the development of pypots-cli, a command line interface tool currently to help PyPOTS developers run tests, code linting, and doc generating, and will enable users to run PyPOTS with shell commands in the future.

PyPOTS is growing 🚀. Stay tuned please!

What's Changed

Merge dev into main to update the documentation and add doc-generating shell scripts by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/40
Add issue templates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/41
Decrease testing python version 3.11 to 3.10, and remove fixed dependency versions by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/43
Save training logs into tensorboard files, enable setting num_workers of DataLoader, and add typing annotations by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/42
Make imputation models val_X_intact and val_indicating_mask be included in input val_set originally by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/44
Refactor the code and correct the error path of the pip-requirement file for Daily-testing workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/45
Save training logs into tensorboard files by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/46
Implemented saving logs into tb file for models, and added test cases for log and model saving by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/47
Add the lint-code workflow and pypots-cli to help development by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/48
Merge 'dev' into 'main': add the lint-code workflow and pypots-cli by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/49
Update limitations on dependency versions by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/50
Add version limitations on dependency 'torch' and 'pandas' by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/51
Update issue templates and fix the python version error in daily testing workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/53
Add issue template config file and fix errors in testing_daily workflow by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/54
Use setup.cfg to manage dependencies for different usages by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/55
Add CLI tool pypots-cli doc and update the dependencies of the development env by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/56
Update documentation configurations and add readthedocs.yml for processing control by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/60
Fix the bug of tensors not on the same device when running on CUDA device by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/59
Fix the error of non-valid license classifier in setup.py by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/61

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.0.10...v0.0.11

- Python
Published by WenjieDu about 3 years ago

pypots - v0.0.10

Dear friends, PyPOTS v0.0.10 is here! 🥳

In this version, we

added support for training models on large datasets with a lazy-loading strategy. I believe this feature is necessary for our users who want to apply PyPOTS in some industrial scenarios where massive datasets are common;
updated the input format. To be compatible with lazy-loading large data from file, the input of function fit() now has been changed from X to train_set. train_set has to be a dict like {"X": X, "y": y} or a path string locating a HDF5 file.
replaced print with logging, which can show necessary printing information more structured；
fixed some inconspicuous and non-fatal bugs;
added test cases to top up the code coverage;
synchronously release PyPOTS in the channel conda-forge on Anaconda, now you can install with conda;

Still, this is a pre-release before the first official version 0.1, and this probably is the last pre-release before v0.1. I'm still working on the docs, tutorials, and new models. Ping me if you have any suggestions or comments! Many thanks, my friends!

What's Changed

merge branch dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/29
Update README.md and requirement.txt by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/33
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/37
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/38
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/39

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.0.9...v0.0.10

- Python
Published by WenjieDu about 3 years ago

pypots - v0.0.9

In this version, we speed up the installation process of PyPOTS. We noticed that torchgeometric and related dependencies take too much time to install. Therefore, they're removed from the list of requirements. They're necessary for the graph model RainDrop. Hence, users who need RainDrop have to install torchgeometric manually after they set up PyPOTS.

What's Changed

Merge updates by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/23
Update README and add the configurations of docs by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/24
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/26
Merge dev into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/28

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.0.8...v0.0.9

- Python
Published by WenjieDu over 3 years ago

pypots - Pre-release v0.0.8

Fixed bugs with running on CUDA devices;

What's Changed

fix: brits imputation test device mismatch by @MaciejSkrabski in https://github.com/WenjieDu/PyPOTS/pull/11
Merge branch 'dev' into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/13
feat: add workflow Publish-to-PyPI by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/14
Merge branch 'dev' into main by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/15
Specify Conda channels for the dependencies by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/18
fix the bug of tensors on different devices by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/22

New Contributors

@MaciejSkrabski made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/11
@WenjieDu made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/13

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.0.7...v0.0.8

- Python
Published by WenjieDu over 3 years ago

pypots - Pre-release v0.0.7

Fix the bug mentioned in #4 and some other issues.

Full Changelog: https://github.com/WenjieDu/PyPOTS/commits/v0.0.7

- Python
Published by WenjieDu almost 4 years ago

Recent Releases of pypots

pypots - v1.0🍻The 1st major version comes

What's Changed

New Contributors

pypots - v0.19📈Implement 3 models for forecasting

What's Changed

pypots - v0.18🔍Implement 10 models on anomaly detection

What's Changed

pypots - v0.17 Five algos added to anomaly detection

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New Contributors

pypots - v0.16 Three forecasting algos implemented

What's Changed

pypots - v0.15⚡️Three New Algos

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pypots - v0.14🕵Six Anomaly Detection Models Implemented

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pypots - v0.13🤩Five classification models implemented

What's Changed

New Contributors

pypots - v0.12🤘Add MOMENT for forecasting&imputation

What's Changed

pypots - v0.11📈Six algos for forecasting

What's Changed

pypots - v0.10🦙LLMs coming

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New Contributors

pypots - v0.9💫New Algos FITS/SegRNN/CSAI/TRMF

What's Changed

New Contributors

pypots - v0.8.1 🪲 Fix model saving issues

What's Changed

pypots - v0.8 🚀 New models

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New Contributors

pypots - v0.7.1 Fix missing load_specific_dataset()

What's Changed

New Contributors

pypots - v0.7 New Algos & Bug Fix

What's Changed

New Contributors

pypots - v0.6 🔥🪭 Nine New Models

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pypots - v0.6 Pre-release

pypots - v0.5 🔥 New Models & Features

What's Changed

New Contributors

pypots - v0.4.1 🚧 Refactor&Modularization

What's Changed

pypots - v0.4 🔥 New models

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pypots - v0.3.2 Bugfix

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pypots - v0.3.1

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pypots - v0.3 coming with new features 😎

What's Changed

pypots - v0.2.1

What's Changed

pypots - v0.2

PyPOTS v0.2 🤗

What's Changed

pypots - v0.1.4

v0.1.4 is here 🥳

What's Changed

pypots - v0.1.3

🤗 v0.1.3 is out here

What's Changed

New Contributors

pypots - v0.1.2

PyPOTS v0.1.2

What's Changed

New Contributors

pypots - v0.1.1

PyPOTS v0.1.1 is here! And we bring you parallel training on multiple GPUs 🚀

What's Changed

pypots - v0.1.0

PyPOTS v0.1 is released! 🎉🎉🎉

What's Changed

pypots - v0.0.11