Module: tf.contrib.factorization

Defined in tensorflow/contrib/factorization/__init__.py.

Ops and modules related to factorization.

Classes

class GMM: An estimator for GMM clustering.

class GmmAlgorithm: Tensorflow Gaussian mixture model clustering class.

class KMeans: Creates the graph for k-means clustering.

class KMeansClustering: An Estimator for K-Means clustering.

class WALSMatrixFactorization: An Estimator for Weighted Matrix Factorization, using the WALS method.

class WALSModel: A model for Weighted Alternating Least Squares matrix factorization.

Functions

gmm(...): Creates the graph for Gaussian mixture model (GMM) clustering.

Other Members

COSINE_DISTANCE

KMEANS_PLUS_PLUS_INIT

RANDOM_INIT

SQUARED_EUCLIDEAN_DISTANCE

__cached__

__loader__

__spec__