tensorcross 0.1.0

Cross Validation, Grid Search and Random Search for TensorFlowDatasets.

Copyright (c) 2020 Jan S.

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# TensorCross

Cross Validation, Grid Search and Random Search for tf.data.Datasets in TensorFlow 2.3 and Python 3.8.

## Motivation

Currently, there is the tf.keras.wrapper.KerasClassifier/KerasRegressor class, which can be used to transform your tf.keras model into a sklearn estimator. However, this approach is only applicable if your dataset is a numpy.ndarray for your x and y data. If you want to use the new tf.data.Dataset class, you cannot use the sklearn wrappers.

## Implemented Features

• Random Search (with one validation set)

• Grid Search (with one validation set)

### TODO

• Random search with cross validation

• Grid search with cross validation

Platform: UNKNOWN Classifier: License :: OSI Approved Programming Language :: Python :: 3.8 Topic :: Software Development Operating System :: Microsoft :: Windows Operating System :: POSIX Operating System :: Unix Operating System :: MacOS

Requires-Python: ==3.8