lale.lib.lale.optimize_suffix module¶

class lale.lib.lale.optimize_suffix.OptimizeSuffix(*, prefix=None, suffix=None, optimizer=None, optimizer_args=None)¶

OptimizeSuffix 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

prefix (union type, not for optimizer, default None) –
Trained Lale operator or pipeline, by default None.
- operator of None
- or None
suffix (union type, not for optimizer, default None) –
Lale operator or pipeline, which is to be optimized. If (default) None is specified, LogisticRegression is used.
- operator of None
- or None
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

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: