LostTech.TensorFlow : API Documentation

Type factorization

Namespace tensorflow.contrib.factorization

Public static methods

ValueTuple<object, Tensor, IList<object>, object, object, Variable> gmm(IDictionary<object, object> inp, string initial_clusters, int num_clusters, int random_seed, ImplicitContainer<T> covariance_type, string params)

ValueTuple<object, Tensor, IList<object>, object, object, Variable> gmm(IGraphNodeBase inp, string initial_clusters, int num_clusters, int random_seed, ImplicitContainer<T> covariance_type, string params)

object gmm_dyn(object inp, object initial_clusters, object num_clusters, object random_seed, ImplicitContainer<T> covariance_type, ImplicitContainer<T> params)

Public properties

PythonFunctionContainer _IncrementGlobalStepHook_fn get;

PythonFunctionContainer _InitializeClustersOpFactory_fn get;

PythonFunctionContainer _LossRelativeChangeHook_fn get;

PythonFunctionContainer _ModelFn_fn get;

PythonFunctionContainer _StopAtSweepHook_fn get;

PythonFunctionContainer _SweepHook_fn get;

PythonFunctionContainer GmmAlgorithm_fn get;

PythonFunctionContainer KMeans_fn get;

PythonFunctionContainer KMeansClustering_fn get;

object MEPS get; set;

object MEPS_dyn get; set;

PythonFunctionContainer WALSMatrixFactorization_fn get;

PythonFunctionContainer WALSModel_fn get;

Public fields

string CLUSTERS_VAR_NAME

return string

string KMEANS_PLUS_PLUS_INIT

return string

string FULL_COVARIANCE

return string

string DIAG_COVARIANCE

return string

string KMC2_INIT

return string

string SQUARED_EUCLIDEAN_DISTANCE

return string

string COSINE_DISTANCE

return string

string RANDOM_INIT

return string