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'
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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