Module: tf.contrib.factorization
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 = 'cosine' -
KMEANS_PLUS_PLUS_INIT = 'kmeans_plus_plus' -
RANDOM_INIT = 'random' -
SQUARED_EUCLIDEAN_DISTANCE = 'squared_euclidean'
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/factorization