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tf.contrib.learn.BaseEstimator

class tf.contrib.learn.BaseEstimator

Abstract BaseEstimator class to train and evaluate TensorFlow models.

Concrete implementation of this class should provide the following functions:

_get_train_ops
_get_eval_ops
_get_predict_ops

Estimator implemented below is a good example of how to use this class.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.learn.html#BaseEstimator

doc_TensorFlow

2016-10-14 13:05:26

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tf.contrib.learn.BaseEstimator.fit() tf.contrib.learn.BaseEstimator.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See Trainable. Raises:

tf.contrib.learn.BaseEstimator.evaluate() tf.contrib.learn.BaseEstimator.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See Evalu

tf.contrib.learn.BaseEstimator.config tf.contrib.learn.BaseEstimator.config

tf.contrib.learn.BaseEstimator.__init__() tf.contrib.learn.BaseEstimator.__init__(model_dir=None, config=None) Initializes a BaseEstimator instance. Args: model_dir: Directory to save model

tf.contrib.learn.BaseEstimator.__repr__() tf.contrib.learn.BaseEstimator.__repr__()