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tf.contrib.learn.TensorFlowEstimator

class tf.contrib.learn.TensorFlowEstimator

Base class for all TensorFlow estimators.

Links:

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

doc_TensorFlow

2016-10-14 13:06:52

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tf.contrib.learn.TensorFlowEstimator.save() tf.contrib.learn.TensorFlowEstimator.save(path) Saves checkpoints and graph to given path. Args: path: Folder to save model to.

tf.contrib.learn.TensorFlowEstimator.__repr__() tf.contrib.learn.TensorFlowEstimator.__repr__()

tf.contrib.learn.TensorFlowEstimator.fit() tf.contrib.learn.TensorFlowEstimator.fit(x, y, steps=None, monitors=None, logdir=None) Neural network model from provided model_fn and training data

tf.contrib.learn.TensorFlowEstimator.predict() tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x. For a classification model, the predicte

tf.contrib.learn.TensorFlowEstimator.evaluate() tf.contrib.learn.TensorFlowEstimator.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) Eva