tf.contrib.learn.SKCompat

Scikit learn wrapper for TensorFlow Learn Estimator.

tf.contrib.learn.SKCompat(
    estimator
)

THIS CLASS IS DEPRECATED. See contrib/learn/README.md for general migration instructions.

Methods

`fit`

View source

fit(
    x, y, batch_size=128, steps=None, max_steps=None, monitors=None
)

`get_params`

View source

get_params(
    deep=True
)

Get parameters for this estimator.

Args

Args
`deep`	boolean, optional If `True`, will return the parameters for this estimator and contained subobjects that are estimators.

deep

boolean, optional

If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns
`params`	mapping of string to any Parameter names mapped to their values.

`predict`

View source

predict(
    x, batch_size=128, outputs=None
)

`score`

View source

score(
    x, y, batch_size=128, steps=None, metrics=None, name=None
)

`set_params`

View source

set_params(
    **params
)

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as pipelines). The former have parameters of the form <component>__<parameter> so that it's possible to update each component of a nested object.

Args
`**params`	Parameters.

Returns
self

Raises
`ValueError`	If params contain invalid names.