neuraxle.metaopt.sklearn

Scikit-learn metaoptimizers

E.g.: for use with RandomizedSearchCV.

Classes

MetaSKLearnWrapper(wrapped)

class neuraxle.metaopt.sklearn.MetaSKLearnWrapper(wrapped)[source]
fit(data_inputs, expected_outputs=None) → neuraxle.base.BaseStep[source]

Fit step with the given data inputs, and expected outputs.

Parameters
  • data_inputs – data inputs

  • expected_outputs – expected outputs to fit on

Returns

fitted self

transform(data_inputs)[source]

Transform given data inputs.

Parameters

data_inputs – data inputs

Returns

transformed data inputs