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

tf.contrib.learn.LinearClassifier.config

tf.contrib.learn.LinearClassifier.export(export_dir, input_fn=None, input_feature_key=None, use_deprecated_input_fn=True, signature_fn=None, default_batch_size=1, e

tf.contrib.learn.TensorFlowEstimator.save(path) Saves checkpoints and graph to given path. Args:

tf.contrib.learn.TensorFlowRNNRegressor.model_dir

tf.contrib.learn.Estimator.config

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

class tf.contrib.learn.TensorFlowRNNRegressor TensorFlow RNN Regressor model.

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