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

tf.contrib.learn.extract_pandas_matrix(data) Extracts numpy matrix from pandas DataFrame. Args:

tf.contrib.learn.TensorFlowEstimator.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None)

tf.contrib.learn.LinearClassifier.get_estimator()

tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given

tf.contrib.learn.BaseEstimator.config

tf.contrib.learn.extract_dask_labels(labels) Extract data from dask.Series for labels.

class tf.contrib.learn.TensorFlowRNNClassifier TensorFlow RNN Classifier model.

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

class tf.contrib.learn.LinearClassifier Linear classifier model. Train a linear model to classify