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
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.