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GitHub / alteryx / evalml

EvalML is an AutoML library written in python.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alteryx%2Fevalml

Stars: 705
Forks: 81
Open Issues: 315

License: bsd-3-clause
Language: Python
Repo Size: 16.4 MB
Dependencies: 65

Created: almost 5 years ago
Updated: about 2 months ago
Last pushed: 2 months ago
Last synced: 2 months ago

Commit Stats

Commits: 2003
Authors: 46
Mean commits per author: 43.54
Development Distribution Score: 0.829
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/alteryx/evalml

Topics: automl, data-science, feature-engineering, feature-selection, hyperparameter-tuning, machine-learning, model-selection, optimization

Files

Readme

Dependencies

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actions/checkout v3 composite
actions/setup-python v4 composite

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actions/checkout v3 composite
actions/setup-python v4 composite

.github/workflows/detect_changes.yaml actions

actions/checkout v3 composite
actions/setup-python v1 composite

.github/workflows/evalml_main_airflow_performance_tests.yaml actions

actions/checkout v3 composite

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actions/cache v3 composite
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actions/setup-python v4 composite

.github/workflows/latest_dependency_checker.yaml actions

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actions/setup-python v1 composite
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core-requirements.txt pypi

click >=8.0.0
cloudpickle >=1.5.0
colorama >=0.4.4
dask >=2022.2.0,
featuretools >=1.16.0
networkx >=2.6
nlp-primitives >=2.9.0
numpy >=1.21.0
pandas >=1.5.0,<2.1.0
pyzmq >=20.0.0
scikit-learn >=1.3.0
scikit-optimize >=0.9.0
scipy >=1.5.0
shap >=0.42.0
statsmodels >=0.12.2
texttable >=1.6.2
woodwork >=0.21.1

docs/readthedocs-requirements.txt pypi

setuptools >=45.1.0