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Author:
Merck KGaA, Darmstadt, Germany
Summary:
An Auto-ML framework optimized for small datasets
Latest version:
0.5.3
Required dependencies:
attrs
|
catboost
|
fsspec
|
networkx
|
numpy
|
optuna
|
pandas
|
pyarrow
|
rapidfuzz
|
ray
|
scikit-learn
|
shap
|
torch
|
universal_pathlib
|
xgboost
Optional dependencies:
autogluon.tabular
|
bokeh
|
boruta
|
flake8
|
ipykernel
|
ipywidgets
|
joblib-stubs
|
jupytext
|
licensecheck
|
lifelines
|
mkdocs
|
mkdocs-gen-files
|
mkdocs-literate-nav
|
mkdocs-material
|
mkdocstrings-python
|
moto
|
mypy
|
nbconvert
|
nbformat
|
nbstripout
|
notebook
|
octopus-automl
|
pandas-stubs
|
plotly-stubs
|
pre-commit
|
pydoclint
|
pytest
|
pytest-cov
|
pytest-order
|
pyupgrade
|
ruff
|
s3fs
|
scikit-learn-stubs
|
scipy-stubs
|
tokenizers
|
types-jmespath
|
types-networkx
|
types-pytz
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