tf.contrib.learn.BaseEstimator.

tf.contrib.learn.BaseEstimator.__repr__()

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tf.contrib.learn.TensorFlowEstimator.partial_fit()

tf.contrib.learn.TensorFlowEstimator.partial_fit(x, y) Incremental fit on a batch of samples. This

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tf.contrib.learn.TensorFlowEstimator.predict_proba()

tf.contrib.learn.TensorFlowEstimator.predict_proba(x, batch_size=None) Predict class probability of the input samples x

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tf.contrib.learn.Estimator.fit()

tf.contrib.learn.Estimator.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.LinearClassifier.bias_

tf.contrib.learn.LinearClassifier.bias_

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tf.contrib.learn.LinearRegressor.evaluate()

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.Estimator.set_params()

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

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tf.contrib.learn.BaseEstimator.predict()

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

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tf.contrib.learn.Estimator.predict()

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

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tf.contrib.learn.TensorFlowEstimator.get_tensor()

tf.contrib.learn.TensorFlowEstimator.get_tensor(name) Returns tensor by name. Args:

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