Uses of Class
cc.mallet.grmm.types.AbstractTableFactor

Packages that use AbstractTableFactor

cc.mallet.grmm.learning
cc.mallet.grmm.types

Uses of AbstractTableFactor in cc.mallet.grmm.learning

Methods in cc.mallet.grmm.learning that return AbstractTableFactor

AbstractTableFactor	ACRF.Template.computeFactor(ACRF.UnrolledVarSet clique)
abstract AbstractTableFactor	ACRF.FixedFactorTemplate.computeFactor(ACRF.UnrolledVarSet clique)

Methods in cc.mallet.grmm.learning with parameters of type AbstractTableFactor

protected void

ACRF.Template.modifyPotential(ACRF.UnrolledGraph unrolledGraph, ACRF.UnrolledVarSet clique, AbstractTableFactor ptl) Modifies a factor computed from this template.

Uses of AbstractTableFactor in cc.mallet.grmm.types

Subclasses of AbstractTableFactor in cc.mallet.grmm.types

class	BoltzmannPairFactor A factor over a continuous variable theta and binary variables var.
class	BoltzmannUnaryFactor A factor over a continuous variable theta and binary variables var.
class	LogTableFactor Created: Jan 4, 2006
class	TableFactor Created: Jan 4, 2006

Methods in cc.mallet.grmm.types that return AbstractTableFactor

AbstractTableFactor	FactorGraph.asTable()
AbstractTableFactor	Factor.asTable()
AbstractTableFactor	CPT.asTable()
AbstractTableFactor	Assignment.asTable()
AbstractTableFactor	AbstractTableFactor.asTable()
AbstractTableFactor	AbstractFactor.asTable()
protected AbstractTableFactor	TableFactor.createBlankSubset(Variable[] vars)
protected AbstractTableFactor	LogTableFactor.createBlankSubset(Variable[] vars)
protected abstract AbstractTableFactor	AbstractTableFactor.createBlankSubset(Variable[] vars)
static AbstractTableFactor	TableFactor.multiplyAll(java.util.Collection phis) Returns the product of a collection of multinomial potentials.
AbstractTableFactor	TableFactor.recenter()
AbstractTableFactor	LogTableFactor.recenter()
abstract AbstractTableFactor	AbstractTableFactor.recenter() Multiplies this factor by the constant 1/max().

Methods in cc.mallet.grmm.types with parameters of type AbstractTableFactor

static double	Factors.distLinf(AbstractTableFactor f1, AbstractTableFactor f2)
static double	Factors.distValueLinf(AbstractTableFactor f1, AbstractTableFactor f2)
static double	Factors.euclideanDistance(AbstractTableFactor f1, AbstractTableFactor f2)
static double	Factors.KL(AbstractTableFactor f1, AbstractTableFactor f2)
static double	Factors.l1Distance(AbstractTableFactor f1, AbstractTableFactor f2)
static double	Factors.logErrorRange(AbstractTableFactor f1, AbstractTableFactor f2) Implements the error range measure from Ihler et al.
static Factor	AbstractTableFactor.makeIdentityFactor(AbstractTableFactor copy) STATIC FACTORY METHODS
protected Factor	TableFactor.marginalizeInternal(AbstractTableFactor result)
protected Factor	LogTableFactor.marginalizeInternal(AbstractTableFactor result)
protected abstract Factor	AbstractTableFactor.marginalizeInternal(AbstractTableFactor result)
static Factor	Factors.mix(AbstractTableFactor f1, AbstractTableFactor f2, double alpha) Returns a new Factor F = alpha * f1 + (1 - alpha) * f2.
static CPT	Factors.normalizeAsCpt(AbstractTableFactor ptl, Variable var)

Constructors in cc.mallet.grmm.types with parameters of type AbstractTableFactor

AbstractTableFactor(AbstractTableFactor in)
Copy constructor.

AbstractTableFactor(AbstractTableFactor ptl, double[] probs)
Creates a potential with the same variables as another, but different probabilites.

LogTableFactor(AbstractTableFactor in)

TableFactor(AbstractTableFactor in)

TableFactor(AbstractTableFactor ptl, double[] probs)