tf.contrib.learn.TensorFlowRNNClassifier.get_variable_value()

tf.contrib.learn.TensorFlowRNNClassifier.get_variable_value(name) Returns value of the variable given by name.

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tf.contrib.learn.BaseEstimator.get_variable_value()

tf.contrib.learn.BaseEstimator.get_variable_value(name) Returns value of the variable given by name. Args:

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tf.contrib.learn.LinearRegressor.get_variable_names()

tf.contrib.learn.LinearRegressor.get_variable_names() Returns list of all variable names in this model.

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tf.contrib.learn.BaseEstimator.

tf.contrib.learn.BaseEstimator.__init__(model_dir=None, config=None) Initializes a BaseEstimator instance.

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tf.contrib.learn.TensorFlowRNNRegressor.set_params()

tf.contrib.learn.TensorFlowRNNRegressor.set_params(**params) Set the parameters of this estimator. The

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tf.contrib.learn.BaseEstimator.get_params()

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

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tf.contrib.learn.DNNRegressor.get_variable_value()

tf.contrib.learn.DNNRegressor.get_variable_value(name) Returns value of the variable given by name. Args:

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tf.contrib.learn.DNNRegressor.model_dir

tf.contrib.learn.DNNRegressor.model_dir

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tf.contrib.learn.DNNClassifier.predict_proba()

tf.contrib.learn.DNNClassifier.predict_proba(*args, **kwargs) Returns prediction probabilities for given features. (deprecated

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tf.contrib.learn.TensorFlowRNNClassifier.save()

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

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