org.knowceans.dirichlet.sandbox
Class LdaMarkovStateHyper

java.lang.Object
  org.knowceans.dirichlet.lda.LdaMarkovState
      org.knowceans.dirichlet.sandbox.LdaMarkovStateHyper

All Implemented Interfaces:

java.io.Serializable

public class LdaMarkovStateHyper
extends LdaMarkovState

LdaMarkovStateHyperCps is a markov state that supports training of hyperparameters, both for vectorial and symmetric priors.

Author:

gregor

See Also:

Serialized Form

Field Summary

double	alpha symmetric hyperparameter alpha or sum of valpha trained from observations, not used for a priori alpha.
double	beta symmetric hyperparameter beta or sum of vbeta trained from observations; not used for a priori beta.
double[]	valpha K hyperparameters alpha trained from observations, not used for a priori alpha.
double[]	vbeta V hyperparameters beta trained from observations; not used for a priori beta.

Fields inherited from class org.knowceans.dirichlet.lda.LdaMarkovState

nd, ndsum, nw, nwsum, V, w, z

Constructor Summary

LdaMarkovStateHyper()

LdaMarkovStateHyper(java.lang.String ldaBase)

Method Summary

void	init(int K, java.util.Random rand) Random allocation and initialisaton of the state count vectors.
protected void	initAb() Allocate the hyperparameters to zero (sampler must assign values).
void	load(java.lang.String filename) Load state arrays from file.
void	save(java.lang.String filename) Save (optionally compressed) file.

Methods inherited from class org.knowceans.dirichlet.lda.LdaMarkovState

copyTo, initNd, initNw, recalculate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

valpha

public double[] valpha

K hyperparameters alpha trained from observations, not used for a priori alpha.

vbeta

public double[] vbeta

V hyperparameters beta trained from observations; not used for a priori beta.

alpha

public double alpha

symmetric hyperparameter alpha or sum of valpha trained from observations, not used for a priori alpha.

beta

public double beta

symmetric hyperparameter beta or sum of vbeta trained from observations; not used for a priori beta.

Constructor Detail

LdaMarkovStateHyper

public LdaMarkovStateHyper()

LdaMarkovStateHyper

public LdaMarkovStateHyper(java.lang.String ldaBase)

Parameters:

ldaBase -

Method Detail

init

public void init(int K,
                 java.util.Random rand)

Description copied from class: LdaMarkovState

Random allocation and initialisaton of the state count vectors.

Overrides:

init in class LdaMarkovState

initAb

protected void initAb()

Allocate the hyperparameters to zero (sampler must assign values).

load

public void load(java.lang.String filename)

Description copied from class: LdaMarkovState

Load state arrays from file.

Overrides:

load in class LdaMarkovState

save

public void save(java.lang.String filename)

Description copied from class: LdaMarkovState

Save (optionally compressed) file.

Overrides:

save in class LdaMarkovState