tf.contrib.learn.LinearClassifier.predict(x=None, input_fn=None, batch_size=None, as_iterable=False) Runs inference to determine the predicted class.

tf.contrib.learn.LinearClassifier.predict_proba(x=None, input_fn=None, batch_size=None, outputs=None, as_iterable=False) Runs inference to determine the class probability predictions.

tf.contrib.learn.LinearClassifier.model_dir

tf.contrib.learn.LinearClassifier.get_variable_value(name)

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, exports_to_keep=None) See BaseEstimator.export.

tf.contrib.learn.LinearClassifier.get_variable_names()

tf.contrib.learn.LinearClassifier.get_estimator()

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

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

tf.contrib.learn.LinearClassifier.config