tf.contrib.learn.LinearRegressor.

tf.contrib.learn.LinearRegressor.__repr__()

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tf.contrib.learn.LinearClassifier

class tf.contrib.learn.LinearClassifier Linear classifier model. Train a linear model to classify

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tf.contrib.learn.DNNRegressor.bias_

tf.contrib.learn.DNNRegressor.bias_

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tf.contrib.learn.BaseEstimator.get_variable_names()

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

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tf.contrib.learn.Estimator

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

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tf.contrib.learn.LinearClassifier.predict_proba()

tf.contrib.learn.LinearClassifier.predict_proba(x=None, input_fn=None, batch_size=None, outputs=None, as_iterable=False) Runs

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tf.contrib.learn.TensorFlowEstimator.model_dir

tf.contrib.learn.TensorFlowEstimator.model_dir

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tf.contrib.learn.TensorFlowEstimator.export()

tf.contrib.learn.TensorFlowEstimator.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

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tf.contrib.learn.infer()

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.TensorFlowEstimator.

tf.contrib.learn.TensorFlowEstimator.__init__(model_fn, n_classes, batch_size=32, steps=200, optimizer='Adagrad', learning_rate=0.1, clip_gradients=5.0, class_weight=None

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