tf.contrib.learn.TensorFlowEstimator
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

class tf.contrib.learn.TensorFlowEstimator Base class for all TensorFlow estimators.

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tf.contrib.learn.Estimator.
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.Estimator.__repr__()

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tf.contrib.learn.BaseEstimator.predict()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.BaseEstimator.predict(*args, **kwargs) Returns predictions for given features. (deprecated arguments)

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tf.contrib.learn.infer()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.infer(restore_checkpoint_path, output_dict, feed_dict=None) Restore graph from restore_checkpoint_path

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tf.contrib.learn.RunConfig.is_chief
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.RunConfig.is_chief

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tf.contrib.learn.TensorFlowRNNClassifier.config
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowRNNClassifier.config

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tf.contrib.learn.DNNRegressor.get_params()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.DNNRegressor.get_params(deep=True) Get parameters for this estimator. Args:

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tf.contrib.learn.TensorFlowRNNClassifier.bias_
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowRNNClassifier.bias_ Returns bias of the rnn layer.

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tf.contrib.learn.LinearRegressor.evaluate()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

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

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tf.contrib.learn.BaseEstimator.
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.BaseEstimator.__repr__()

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