tf.contrib.learn.LinearRegressor.linear_bias_

tf.contrib.learn.LinearRegressor.linear_bias_ Returns bias of the linear part.

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tf.contrib.learn.extract_pandas_labels()

tf.contrib.learn.extract_pandas_labels(labels) Extract data from pandas.DataFrame for labels. Args:

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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

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tf.contrib.learn.TensorFlowEstimator.get_variable_names()

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

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tf.contrib.learn.TensorFlowRNNClassifier.get_variable_names()

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

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tf.contrib.learn.TensorFlowRNNRegressor.model_dir

tf.contrib.learn.TensorFlowRNNRegressor.model_dir

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tf.contrib.learn.LinearClassifier.predict()

tf.contrib.learn.LinearClassifier.predict(x=None, input_fn=None, batch_size=None, as_iterable=False) Runs inference to determine

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tf.contrib.learn.LinearClassifier.fit()

tf.contrib.learn.LinearClassifier.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

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tf.contrib.learn.Estimator.model_dir

tf.contrib.learn.Estimator.model_dir

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tf.contrib.learn.LinearRegressor.dnn_bias_

tf.contrib.learn.LinearRegressor.dnn_bias_ Returns bias of deep neural network part.

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