evalml
an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install evalml
Dependencies
- pyzmq
- imbalanced-learn
- pmdarima
- cloudpickle
- featuretools
- matplotlib
- scipy
- category-encoders
- graphviz
- shap
- tomli
- nlp-primitives
- xgboost
- click
- networkx
- lightgbm
- plotly
- black
- lime
- distributed
- woodwork
- holidays
- numpy
- ipywidgets
- packaging
- sktime
- statsmodels
- kaleido
- colorama
- texttable
- seaborn
- scikit-learn
- pandas
- scikit-optimize
- catboost
- dask
Releases
| Version | Released | Bookworm Python 3.11 |
Trixie Python 3.13 |
Files |
|---|---|---|---|---|
| 0.84.0 | 2024-06-06 | |||
| 0.83.0 | 2024-02-02 | |||
| 0.82.0 | 2023-11-03 | |||
| 0.81.1 | 2023-10-16 | |||
| 0.80.0 | 2023-08-31 | |||
| 0.79.0 | 2023-08-14 | |||
| 0.78.0 | 2023-07-11 | |||
| 0.77.0 | 2023-06-08 | |||
| 0.76.0 | 2023-05-10 | |||
| 0.75.0 | 2023-05-02 | |||
| 0.74.0 | 2023-04-19 | |||
| 0.73.0 | 2023-04-11 | |||
| 0.72.0 | 2023-03-27 | |||
| 0.71.0 | 2023-03-18 | |||
| 0.70.0 | 2023-03-17 | |||
| 0.69.0 | 2023-03-15 | |||
| 0.68.0 | 2023-02-16 | |||
| 0.67.0 | 2023-02-02 | |||
| 0.66.1 | 2023-01-27 | |||
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| 0.66.0 | 2023-01-25 | |||
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| 0.65.0 | 2023-01-12 | |||
| 0.64.0 | 2022-12-09 | |||
| 0.63.0 | 2022-11-30 | |||
| 0.62.0 | 2022-11-02 | |||
| 0.61.1 | 2022-10-27 | |||
| 0.61.0 | 2022-10-27 | |||
| 0.60.0 | 2022-10-20 | |||
| 0.59.0 | 2022-09-28 | |||
| 0.58.0 | 2022-09-20 | |||
| 0.57.0 | 2022-09-06 | |||
| 0.56.1 | 2022-08-19 | |||
| 0.56.0 | 2022-08-16 | |||
| 0.55.0 | 2022-07-28 | |||
| 0.54.0 | 2022-06-27 | |||
| 0.53.1 | 2022-06-09 | |||
| 0.52.0 | 2022-05-12 | |||
| 0.51.0 | 2022-04-29 | |||
| 0.50.0 | 2022-04-13 | |||
| 0.49.0 | 2022-04-01 | |||
| 0.48.0 | 2022-03-28 | |||
| 0.47.0 | 2022-03-17 | |||
| 0.46.0 | 2022-03-03 | |||
| 0.45.0 | 2022-02-18 | |||
| 0.44.0 | 2022-02-04 | |||
| 0.43.0 | 2022-01-25 | |||
| 0.42.0 | 2022-01-20 | |||
| 0.41.0 | 2022-01-10 | |||
| 0.40.0 | 2021-12-22 | |||
| 0.39.0 | 2021-12-09 | |||
| 0.38.0 | 2021-11-29 | |||
| 0.37.0 | 2021-11-10 | |||
| 0.36.0 | 2021-10-27 | |||
| 0.35.0 | 2021-10-15 | |||
| 0.34.1rc1 pre-release | 2021-10-01 | |||
| 0.34.0 | 2021-10-01 | |||
| 0.33.0 | 2021-09-15 | |||
| 0.32.1 | 2021-09-10 | |||
| 0.32.0 | 2021-09-02 | |||
| 0.31.0 | 2021-08-19 | |||
| 0.30.2 | 2021-08-16 | |||
| 0.30.0 | 2021-08-04 | |||
| 0.29.0 | 2021-07-22 | |||
| 0.28.0 | 2021-07-02 | |||
| 0.27.0 | 2021-06-23 | |||
| 0.25.0 | 2021-06-02 | |||
| 0.24.2 | 2021-05-25 | |||
| 0.24.1 | 2021-05-17 | |||
| 0.24.0 | 2021-05-05 | |||
| 0.23.0 | 2021-04-21 | |||
| 0.22.0 | 2021-04-07 | |||
| 0.21.0 | 2021-03-24 | |||
| 0.20.0 | 2021-03-11 | |||
| 0.19.0 | 2021-02-24 | |||
| 0.18.2 | 2021-02-10 | |||
| 0.18.1 | 2021-02-02 | |||
| 0.18.0 | 2021-01-26 | |||
| 0.17.0 | 2020-12-30 | |||
| 0.16.1 | 2020-12-01 | |||
| 0.16.0 | 2020-11-24 | |||
| 0.15.0 | 2020-10-29 | |||
| 0.14.1 | 2020-09-29 | |||
| 0.13.2 | 2020-09-17 | |||
| 0.13.1 | 2020-08-25 | |||
| 0.12.2 | 2020-08-06 | |||
| 0.12.0 | 2020-08-03 | |||
| 0.11.2 | 2020-07-16 | |||
| 0.0.1 | 2020-07-02 | |||
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