lale.lib.lale.tee module

class lale.lib.lale.tee.Tee(*args, _lale_trained=False, _lale_impl=None, **kwargs)

Bases: TrainedIndividualOp

Passes the data through unchanged (like NoOp), first giving it to an listener. Useful for debugging and logging.Similar to Observing, which provides a higher order operator with more comprehensive abilities.

This documentation is auto-generated from JSON schemas.

Parameters

listener (union type, optional, not for optimizer) –

• callable

  A callable (lambda, method, class that implements __call__, …)that accepts to arguments: X and y (which may be None). When transformis called on this operator, the callable will be passed the givenX and y values

• or None

  No listener. Causes this operator to behave like NoOp.

transform(X, y=None)

Transform the data.

Parameters

X (Any) – Features; no restrictions on data type.

Returns

result – Features; no restrictions on data type.

Return type

Any