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

tf.contrib.learn.LinearRegressor.__init__(feature_columns, model_dir=None, weight_column_name=None, optimizer=None, gradient_clip_norm=None, enable_centered_bias=None

tf.contrib.learn.Estimator.model_dir

tf.contrib.learn.DNNClassifier.config

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

tf.contrib.learn.extract_dask_data(data) Extract data from dask.Series or dask.DataFrame for predictors.

tf.contrib.learn.TensorFlowRNNRegressor.weights_ Returns weights of the rnn layer.

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

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

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