Class SKCompat
Defined in tensorflow/contrib/learn/python/learn/estimators/estimator.py
.
Scikit learn wrapper for TensorFlow Learn Estimator.
THIS CLASS IS DEPRECATED. See contrib/learn/README.md for general migration instructions.
__init__
__init__(estimator)
DEPRECATED FUNCTION
Methods
tf.contrib.learn.SKCompat.fit
fit(
x,
y,
batch_size=128,
steps=None,
max_steps=None,
monitors=None
)
tf.contrib.learn.SKCompat.get_params
get_params(deep=True)
Get parameters for this estimator.
Args:
deep
: boolean, optionalIf
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.
tf.contrib.learn.SKCompat.predict
predict(
x,
batch_size=128,
outputs=None
)
tf.contrib.learn.SKCompat.score
score(
x,
y,
batch_size=128,
steps=None,
metrics=None,
name=None
)
tf.contrib.learn.SKCompat.set_params
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.