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## 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` | `LogTableFactor` Created: Jan 4, 2006
`class` | `TableFactor` Created: Jan 4, 2006

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

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 abstract Factor` | `AbstractTableFactor.marginalizeInternal(AbstractTableFactor result)`
`protected Factor` | `LogTableFactor.marginalizeInternal(AbstractTableFactor result)`
`protected Factor` | `TableFactor.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)`

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