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

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

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

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

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

tf.contrib.learn.DNNRegressor.bias_

class tf.contrib.learn.BaseEstimator Abstract BaseEstimator class to train and evaluate TensorFlow models.

tf.contrib.learn.TensorFlowEstimator.config

tf.contrib.learn.LinearClassifier.get_estimator()

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