mlrl-boomer

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (2.2%) to scientific vocabulary

Keywords

gradient-boosting machine-learning multi-target-regression multilabel-classification multioutput-regressor rule-learning scikit-learn

Last synced: 6 months ago · JSON representation ·

Repository

A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules

Basic Info

Host: GitHub
Owner: mrapp-ke
License: mit
Language: C++
Default Branch: main
Homepage: https://mlrl-boomer.readthedocs.io/en/latest/
Size: 449 MB

Statistics

Stars: 2
Watchers: 0
Forks: 0
Open Issues: 3
Releases: 25

Topics

gradient-boosting machine-learning multi-target-regression multilabel-classification multioutput-regressor rule-learning scikit-learn

Created over 6 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog License Code of conduct Citation

Owner

Login: mrapp-ke
Kind: user

Repositories: 3
Profile: https://github.com/mrapp-ke

Citation (CITATION.cff)

cff-version: 1.2.0
title: >-
  BOOMER - An Algorithm for Learning Gradient Boosted
  Multi-label Classification Rules
message: 'If you use this software, please cite it as below.'
type: software
authors:
  - given-names: Michael
    family-names: Rapp
repository-code: 'https://github.com/mrapp-ke/MLRL-Boomer'
license: MIT
preferred-citation:
  type: proceedings
  authors:
  - family-names: "Rapp"
    given-names: "Michael"
  - family-names: "Loza Mencía"
    given-names: "Eneldo"
  - family-names: "Ngyuen"
    given-names: "Vu-Linh"
  - family-names: "Hüllermeier"
    given-names: "Eyke"
  - family-names: "Fürnkranz"
    given-names: "Johannes"
  title: "Learning Gradient Boosted Multi-label Classification Rules"
  conference: "European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)"
  start: 124
  end: 140
  publisher:
    name: "Springer"
  year: 2020

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 40
Total pull requests: 1,642
Average time to close issues: 4 months
Average time to close pull requests: about 9 hours
Total issue authors: 5
Total pull request authors: 5
Average comments per issue: 0.5
Average comments per pull request: 1.18
Merged pull requests: 1,447
Bot issues: 1
Bot pull requests: 1,036

Past Year

Issues: 5
Pull requests: 1,574
Average time to close issues: 25 minutes
Average time to close pull requests: about 6 hours
Issue authors: 3
Pull request authors: 3
Average comments per issue: 1.2
Average comments per pull request: 1.17
Merged pull requests: 1,386
Bot issues: 1
Bot pull requests: 1,036

View more stats

Top Authors

Issue Authors

mrapp-ke (26)
JayJayJay1 (8)
michael-rapp (6)
issue-api-tokens[bot] (3)
Fuminides (1)

Pull Request Authors

boomer-merge-bot[bot] (954)
michael-rapp (665)
issue-api-tokens[bot] (242)
mrapp-ke (65)
JayJayJay1 (8)

Top Labels

Issue Labels

seco (36) boosting (25) enhancement (10) performance (9) refactoring (7) bug (5) requires profiling (5) bot (3) wontfix (3) common (3) optional (1) invalid (1) build system (1)

Pull Request Labels

bot (1,191) ci (214) refactoring (159) testbed (152) build system (149) common (85) documentation (79) boosting (60) bug (59) tests (44) build-system (35) seco (31) enhancement (30) testbed-sklearn (16) compilation (10) util (7) testbed-arff (3) deprecation (2)

Packages

Total packages: 8
Total downloads:
- pypi 2,427 last-month

Total dependent packages: 5
(may contain duplicates)
Total dependent repositories: 3
(may contain duplicates)
Total versions: 93
Total maintainers: 1

pypi.org: mlrl-common

Provides common modules to be used by different types of multi-label rule learning algorithms

Documentation: https://mlrl-common.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 20
Dependent Packages: 3
Dependent Repositories: 1
Downloads: 631 Last month

Rankings

Dependent packages count: 3.1%

Stargazers count: 14.2%

Average: 14.8%

Downloads: 15.8%

Forks count: 19.1%

Dependent repos count: 21.6%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-boomer

A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label output rules

Documentation: https://mlrl-boomer.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 20
Dependent Packages: 1
Dependent Repositories: 1
Downloads: 701 Last month

Rankings

Dependent packages count: 4.7%

Stargazers count: 14.2%

Average: 15.6%

Downloads: 18.5%

Forks count: 19.1%

Dependent repos count: 21.6%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-testbed

Provides utilities for the training and evaluation of machine learning algorithms

Documentation: https://mlrl-testbed.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 20
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 120 Last month

Rankings

Dependent packages count: 10.1%

Stargazers count: 14.2%

Forks count: 19.1%

Dependent repos count: 21.6%

Average: 24.9%

Downloads: 59.7%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-testbed-slurm

Adds support for the Slurm Workload Manager to the package "mlrl-testbed"

Documentation: https://mlrl-testbed-slurm.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 51 Last month

Rankings

Dependent packages count: 8.7%

Average: 29.4%

Stargazers count: 29.5%

Forks count: 30.8%

Dependent repos count: 48.7%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-testbed-sklearn

Adds support for the scikit-learn framework to the package "mlrl-testbed"

Documentation: https://mlrl-testbed-sklearn.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 85 Last month

Rankings

Dependent packages count: 8.9%

Average: 29.6%

Dependent repos count: 50.2%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-testbed-arff

Adds support for ARFF files to the package "mlrl-testbed"

Documentation: https://mlrl-testbed-arff.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 80 Last month

Rankings

Dependent packages count: 8.9%

Average: 29.6%

Dependent repos count: 50.2%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-util

Provides common utilities used by the mlrl-* packages.

Documentation: https://mlrl-util.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 96 Last month

Rankings

Dependent packages count: 8.9%

Stargazers count: 29.9%

Average: 30.0%

Forks count: 31.2%

Dependent repos count: 50.2%

Maintainers (1)

mrapp

Last synced: 6 months ago

pypi.org: mlrl-seco

A scikit-learn implementation of a Separate-and-Conquer (SeCo) multi-label rule learning algorithm

Documentation: https://mlrl-seco.readthedocs.io/
License: mit
Latest release: 0.14.0
published 6 months ago

Versions: 14
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 663 Last month

Rankings

Dependent packages count: 9.4%

Average: 35.9%

Dependent repos count: 62.3%

Maintainers (1)

mrapp

Last synced: 6 months ago

Dependencies

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python/requirements.txt pypi

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python/subprojects/boosting/setup.py pypi

mlrl-common ==

python/subprojects/common/setup.py pypi

dependency_names =
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python/subprojects/seco/setup.py pypi

mlrl-common ==

python/subprojects/testbed/setup.py pypi

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scons/requirements.txt pypi

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.github/workflows/test_release.yml actions

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mlrl-boomer

Science Score: 44.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

Owner

Citation (CITATION.cff)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: mlrl-common

Rankings

Maintainers (1)

pypi.org: mlrl-boomer

Rankings

Maintainers (1)

pypi.org: mlrl-testbed

Rankings

Maintainers (1)

pypi.org: mlrl-testbed-slurm

Rankings

Maintainers (1)

pypi.org: mlrl-testbed-sklearn

Rankings

Maintainers (1)

pypi.org: mlrl-testbed-arff

Rankings

Maintainers (1)

pypi.org: mlrl-util

Rankings

Maintainers (1)

pypi.org: mlrl-seco

Rankings

Maintainers (1)

Dependencies