Type factorization
Namespace tensorflow.contrib.factorization
Methods
Properties
- _IncrementGlobalStepHook_fn
- _InitializeClustersOpFactory_fn
- _LossRelativeChangeHook_fn
- _ModelFn_fn
- _StopAtSweepHook_fn
- _SweepHook_fn
- gmm_fn
- GMM_fn
- GmmAlgorithm_fn
- KMeans_fn
- KMeansClustering_fn
- MEPS
- MEPS_dyn
- WALSMatrixFactorization_fn
- WALSModel_fn
Fields
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 gmm_fn get;
PythonFunctionContainer GMM_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
|