Module: tf.contrib.factorization
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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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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# Module: tf.contrib.factorization\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/factorization/__init__.py) |\n\nOps and modules related to factorization.\n\nClasses\n-------\n\n[`class GMM`](../../tf/contrib/factorization/GMM): An estimator for GMM clustering.\n\n[`class GmmAlgorithm`](../../tf/contrib/factorization/GmmAlgorithm): Tensorflow Gaussian mixture model clustering class.\n\n[`class KMeans`](../../tf/contrib/factorization/KMeans): Creates the graph for k-means clustering.\n\n[`class KMeansClustering`](../../tf/contrib/factorization/KMeansClustering): An Estimator for K-Means clustering.\n\n[`class WALSMatrixFactorization`](../../tf/contrib/factorization/WALSMatrixFactorization): An Estimator for Weighted Matrix Factorization, using the WALS method.\n\n[`class WALSModel`](../../tf/contrib/factorization/WALSModel): A model for Weighted Alternating Least Squares matrix factorization.\n\nFunctions\n---------\n\n[`gmm(...)`](../../tf/contrib/factorization/gmm): Creates the graph for Gaussian mixture model (GMM) clustering.\n\nOther Members\n-------------\n\n- `COSINE_DISTANCE = 'cosine'`\n- `KMEANS_PLUS_PLUS_INIT = 'kmeans_plus_plus'`\n- `RANDOM_INIT = 'random'`\n- `SQUARED_EUCLIDEAN_DISTANCE = 'squared_euclidean'`"]]