class tf.contrib.learn.TensorFlowEstimator Base class for all TensorFlow estimators.
tf.contrib.learn.Estimator.__repr__()
tf.contrib.learn.BaseEstimator.predict(*args, **kwargs) Returns predictions for given features. (deprecated arguments)
tf.contrib.learn.infer(restore_checkpoint_path, output_dict, feed_dict=None) Restore graph from restore_checkpoint_path
tf.contrib.learn.RunConfig.is_chief
tf.contrib.learn.TensorFlowRNNClassifier.config
tf.contrib.learn.DNNRegressor.get_params(deep=True) Get parameters for this estimator. Args:
tf.contrib.learn.TensorFlowRNNClassifier.bias_ Returns bias of the rnn layer.
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
tf.contrib.learn.BaseEstimator.__repr__()
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