GMM - LostTech.TensorFlow Documentation

Type GMM

Namespace tensorflow.contrib.factorization

Parent Estimator

Interfaces IGMM

An estimator for GMM clustering.

Methods

Properties

Fields

Public instance methods

IEnumerator<object> predict_assignments(ValueTuple<object, object, object> input_fn, object batch_size, object outputs)

See BaseEstimator.predict.

IEnumerator<object> predict_assignments(PythonFunctionContainer input_fn, object batch_size, object outputs)

See BaseEstimator.predict.

object predict_assignments_dyn(object input_fn, object batch_size, object outputs)

See BaseEstimator.predict.

object score(PythonFunctionContainer input_fn, int batch_size, Nullable<int> steps)

Predict total log-likelihood.

Parameters

PythonFunctionContainer input_fn: see predict.
int batch_size: see predict.
Nullable<int> steps: see predict.

Returns

object: Total log-likelihood.

object score(PythonFunctionContainer input_fn, object batch_size, Nullable<int> steps)

Predict total log-likelihood.

Parameters

PythonFunctionContainer input_fn: see predict.
object batch_size: see predict.
Nullable<int> steps: see predict.

Returns

object: Total log-likelihood.

object score_dyn(object input_fn, object batch_size, object steps)

Predict total log-likelihood.

Parameters

object input_fn: see predict.
object batch_size: see predict.
object steps: see predict.

Returns

object: Total log-likelihood.

object weights()

Returns the cluster weights.

object weights_dyn()

Returns the cluster weights.

Public properties

object ASSIGNMENTS_dyn get; set;

object config get;

object config_dyn get;

object LOG_LIKELIHOOD_dyn get; set;

string model_dir get;

object model_dir_dyn get;

object model_fn get;

object model_fn_dyn get;

object PythonObject get;

object SCORES_dyn get; set;

Public fields

string SCORES

return string

string ASSIGNMENTS

return string

string LOG_LIKELIHOOD

return string