tf.contrib.learn.BaseEstimator.set_params()

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

2016-10-14 13:05:30
tf.contrib.learn.TensorFlowEstimator.restore()

tf.contrib.learn.TensorFlowEstimator.restore(cls, path, config=None) Restores model from give path. Args:

2016-10-14 13:06:56
tf.contrib.learn.Estimator.

tf.contrib.learn.Estimator.__repr__()

2016-10-14 13:05:46
tf.contrib.learn.RunConfig.is_chief

tf.contrib.learn.RunConfig.is_chief

2016-10-14 13:06:51
tf.contrib.learn.LinearRegressor.predict()

tf.contrib.learn.LinearRegressor.predict(*args, **kwargs) Returns predictions for given features. (deprecated arguments)

2016-10-14 13:05:56
tf.contrib.learn.DNNRegressor.get_params()

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

2016-10-14 13:05:38
tf.contrib.learn.DNNRegressor.set_params()

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

2016-10-14 13:05:40
tf.contrib.learn.DNNRegressor.get_variable_names()

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

2016-10-14 13:05:38
tf.contrib.learn.TensorFlowRNNClassifier.bias_

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

2016-10-14 13:06:58
tf.contrib.learn.LinearClassifier.

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

2016-10-14 13:05:51