tf.contrib.learn.TensorFlowRNNClassifier.config

class tf.contrib.learn.DNNClassifier A classifier for TensorFlow DNN models. Example:

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

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.LinearRegressor.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

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

tf.contrib.learn.BaseEstimator.__init__(model_dir=None, config=None) Initializes a BaseEstimator instance.

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

tf.contrib.learn.TensorFlowRNNRegressor.bias_ Returns bias of the rnn layer.

tf.contrib.learn.LinearRegressor.weights_