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scikeras

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List of commits on branch master.
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32fc6af3ffc85884ee8ce455c33b0bfe39126491

Support TensorFlow 2.11.0 (#287)

aadriangb committed 2 years ago
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eb88be83cbdd0fe12114711c396a42bee73f312b

Disable testing on TF nightly (#286)

aadriangb committed 2 years ago
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0144439a10cfb8b82bdd57730bc9c91904217af8

bump version to 0.9.0 (#281)

aadriangb committed 2 years ago
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8d5e1a98e0d273c265609ee466cbfe68fbdb2106

Support sparse matrices for inputs/X (#240)

aadriangb committed 2 years ago
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71cabed2e4436bdcdea79b1a1b6c115164563e21

Allow functools.partial in wrappers.py (#279)

jjpgard committed 2 years ago
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2c8e9e0d92f4fb128e273492ab2d75c736d0a3cb

chore: update all deps (#280)

aadriangb committed 2 years ago

README

The README file for this repository.

Scikit-Learn Wrapper for Keras

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Scikit-Learn compatible wrappers for Keras Models.

Why SciKeras

SciKeras is derived from and API compatible with the now deprecated / removed tf.keras.wrappers.scikit_learn.

An overview of the differences as compared to the TF wrappers can be found in our migration guide.

Installation

This package is available on PyPi:

# Tensorflow
pip install scikeras[tensorflow]

Note that pip install scikeras[tensorflow] is basically equivalent to pip install scikeras tensorflow and is offered just for convenience. You can also install just SciKeras with pip install scikeras, but you will need a version of tensorflow installed at runtime or SciKeras will throw an error when you try to import it.

The current version of SciKeras depends on scikit-learn>=1.4.1post1 and Keras>=3.2.0.

Migrating from keras.wrappers.scikit_learn

Please see the migration section of our documentation.

Documentation

Documentation is available at https://www.adriangb.com/scikeras/.

Contributing

See CONTRIBUTING.md