https://github.com/giuseppegrieco/keras-tuner-cv

Extension for keras tuner that adds a set of classes to implement cross validation techniques.
https://github.com/giuseppegrieco/keras-tuner-cv

cross-validation keras keras-tuner keras-tuner-cross-validation

Last synced: 4 months ago
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Extension for keras tuner that adds a set of classes to implement cross validation techniques.

• Host: GitHub
• URL: https://github.com/giuseppegrieco/keras-tuner-cv
• Owner: giuseppegrieco
• License: gpl-3.0
• Created: 2022-04-05T09:52:25.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-12-08T08:03:26.000Z (about 1 year ago)
• Last Synced: 2024-10-01T16:08:17.991Z (5 months ago)
• Topics: cross-validation, keras, keras-tuner, keras-tuner-cross-validation
• Language: Python
• Homepage:
• Size: 23.4 KB
• Stars: 5
• Watchers: 2
• Forks: 5
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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# Keras Tuner Cross Validation

Extension for keras tuner that adds a set of classes to implement cross validation methodologies.

## Install

```

$ pip install keras_tuner_cv

```

## Implemented methodologies

Here is the list of implemented methodologies and how to use them!

### Outer Cross Validation

```python

from keras_tuner_cv.outer_cv import OuterCV

from keras_tuner.tuners import RandomSearch

from sklearn.model_selection import KFold

cv = KFold(n_splits=5, random_state=12345, shuffle=True),

outer_cv = OuterCV(

    # You can use any class extendind:

    # sklearn.model_selection.cros.BaseCrossValidator

    cv,

    # You can use any class extending:

    # keras_tuner.engine.tuner.Tuner, e.g. RandomSearch

    RandomSearch,

    # Tuner parameters both positional and named ones

    ...

)

```

### Inner Cross Validation

```python

from keras_tuner_cv.outer_cv import OuterCV

from keras_tuner.tuners import RandomSearch

from sklearn.model_selection import KFold

cv = KFold(n_splits=5, random_state=12345, shuffle=True),

    

# You can use any class extending:

# keras_tuner.engine.tuner.Tuner, e.g. RandomSearch

outer_cv = inner_cv(RandomSearch)(

    hypermodel,

    # You can use any class extendind:

    # sklearn.model_selection.cros.BaseCrossValidator

    cv,

    # Tuner positional parameters except hypermodel

    ...,

    # Saves the history of all metrics observed across the epochs 

    # in json format.    

    save_history=False,

    # Saves the model output for both the training and validation 

    # datasets in numpy format.

    save_output=False,

    # Indicates when or not to reload the best weights w.r.t. to 

    # the objective indicated for the calculation of output and

    # scores.

    restore_best=True,

    # Tuner named parameters except hypermodel

    ...

)

```

## License

Keras Tuner CV is released under the [GPL v3](LICENSE).