splitting_config Module
Configuration for sampling.
Classes
| SplittingConfig |
Default method for holding information on how to split a sampled dataset for feature sweeping. Initialize an instance of this class. param task: ML task param train_size: Fraction of the sampled dataset to be used for training. param test_size: Fraction of the sampled dataset to be used for validation. param number_cross_validation: Number of folds for doing Cross-Validation. |
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