Metadata-Version: 2.1
Name: scikeras
Version: 0.3.3
Summary: Scikit-Learn API wrapper for Keras.
Home-page: https://github.com/adriangb/scikeras
License: MIT
Keywords: keras,tensorflow,scikit-learn,deep-learning,python
Author: Adrian Garcia Badaracco
Author-email: 1755071+adriangb@users.noreply.github.com
Requires-Python: >=3.6.1,<4.0
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: importlib-metadata (>=3,<4); python_version < "3.8"
Requires-Dist: scikit-learn (>=0.22.0)
Requires-Dist: tensorflow (>=2.4.0)
Project-URL: Documentation, https://www.adriangb.com/scikeras/
Project-URL: Repository, https://github.com/adriangb/scikeras
Description-Content-Type: text/markdown

# Scikit-Learn Wrapper for Keras

[![Build Status](https://github.com/adriangb/scikeras/workflows/Tests/badge.svg)](https://github.com/adriangb/scikeras/actions?query=workflow%3ATests+branch%3Amaster)
[![Coverage Status](https://codecov.io/gh/adriangb/scikeras/branch/master/graph/badge.svg)](https://codecov.io/gh/adriangb/scikeras)
[![Docs](https://readthedocs.org/projects/docs/badge/?version=latest)](https://www.adriangb.com/scikeras/)

Scikit-Learn compatible wrappers for Keras Models.

## Why SciKeras

SciKeras is derived from and API compatible with `tf.keras.wrappers.scikit_learn`. The original TensorFlow (TF) wrappers are not actively maintained,
and [will be removed](https://github.com/tensorflow/tensorflow/pull/36137#issuecomment-726271760) in a future release.

An overview of the advantages and differences as compared to the TF wrappers can be found in our
[migration](https://www.adriangb.com/scikeras/stable/migration.html) guide.

## Installation

This package is available on PyPi:

```bash
pip install scikeras
```

The only dependencies are `scikit-learn>=0.22` and `TensorFlow>=2.4.0`.

### Migrating from `tf.keras.wrappers.scikit_learn`

Please see the [migration](https://www.adriangb.com/scikeras/stable/migration.html) section of our documentation.

## Documentation

Documentation is available at [https://www.adriangb.com/scikeras/](https://www.adriangb.com/scikeras/).

## Contributing

See [CONTRIBUTING.md](https://github.com/adriangb/scikeras/blob/master/CONTRIBUTING.md)

