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

tf.contrib.learn.DNNClassifier.__init__(hidden_units, feature_columns, model_dir=None, n_classes=2, weight_column_name=None, optimizer=None, activation_fn=relu, dropout=None

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

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

tf.contrib.learn.LinearClassifier.__init__(feature_columns, model_dir=None, n_classes=2, weight_column_name=None, optimizer=None, gradient_clip_norm=None, enable_centered_bias=None

tf.contrib.learn.TensorFlowRNNRegressor.__init__(rnn_size, cell_type='gru', num_layers=1, input_op_fn=null_input_op_fn, initial_state=None, bidirectional=False, sequence_length=None

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

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

tf.contrib.learn.DNNRegressor.partial_fit(x=None, y=None, input_fn=None, steps=1, batch_size=None, monitors=None) Incremental

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