lale.lib.lale.optimize_last module

class lale.lib.lale.optimize_last.OptimizeLast(*, estimator=None, last_optimizer=None, optimizer_args=None)

Bases: PlannedIndividualOp

OptimizeLast is a wrapper around other optimizers, which runs the given optimizer

This documentation is auto-generated from JSON schemas.

against the suffix, after transforming the data according to the prefix, and then stitches the result together into a single trained pipeline.

Examples

Parameters

  • estimator (union type, not for optimizer, default None) –

    Planned Lale individual operator or pipeline.

    • operator

    • or None

      lale.lib.sklearn.LogisticRegression

  • last_optimizer (union type, not for optimizer, default None) –

    Lale optimizer. If (default) None is specified, Hyperopt is used.

    • operator of None

    • or None

  • optimizer_args (union type, optional, not for optimizer, default None) –

    Parameters to be passed to the optimizer

    • dict

    • or None

fit(X, y=None, **fit_params)

Train the operator.

Note: The fit method is not available until this operator is trainable.

Once this method is available, it will have the following signature:

Parameters

  • X (any type) –

  • y (any type) –

predict(X, **predict_params)

Make predictions.

Note: The predict method is not available until this operator is trained.

Once this method is available, it will have the following signature:

Parameters

X (any type) –

Returns

result

Return type

any type