| Package | Description |
|---|---|
| com.aliasi.dca |
Classes for fitting and running discrete choice analysis (DCA) models.
|
| Modifier and Type | Method and Description |
|---|---|
DiscreteChooser |
DiscreteObjectChooser.chooser()
Returns the discrete chooser on which this object chooser is
based.
|
static DiscreteChooser |
DiscreteChooser.estimate(Vector[][] alternativess,
int[] choices,
RegressionPrior prior,
int priorBlockSize,
AnnealingSchedule annealingSchedule,
double minImprovement,
int minEpochs,
int maxEpochs,
Reporter reporter)
Returns a discrete choice model estimated from the specified
training data, prior, and learning parameters.
|
| Constructor and Description |
|---|
DiscreteObjectChooser(FeatureExtractor<E> featureExtractor,
SymbolTable featureSymbolTable,
DiscreteChooser chooser)
Construct a discrete chooser based on the specified feature
extractor, feature symbol table, and base chooser.
|
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