Uses of Class
gov.sandia.cognition.learning.function.ConstantEvaluator

Packages that use ConstantEvaluator

Package	Description
gov.sandia.cognition.learning.algorithm.baseline	Provides baseline (dummy) learning algorithms.
gov.sandia.cognition.learning.function	Provides function objects for learning algorithms.

Uses of ConstantEvaluator in gov.sandia.cognition.learning.algorithm.baseline

Methods in gov.sandia.cognition.learning.algorithm.baseline that return ConstantEvaluator

Modifier and Type	Method and Description
ConstantEvaluator<java.lang.Double>	MeanLearner.learn(java.util.Collection<? extends InputOutputPair<?,java.lang.Double>> data) Creates a constant evaluator that returns the mean output value of the given dataset.
ConstantEvaluator<java.lang.Double>	WeightedMeanLearner.learn(java.util.Collection<? extends InputOutputPair<?,java.lang.Double>> data) Creates a constant evaluator for the weighted mean output value of the given dataset.
ConstantEvaluator<OutputType>	MostFrequentLearner.learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>> data) Creates a constant evaluator that for the most frequent output value of the given dataset.
ConstantEvaluator<OutputType>	WeightedMostFrequentLearner.learn(java.util.Collection<? extends InputOutputPair<? extends java.lang.Object,OutputType>> data) Creates a constant evaluator based on the most frequent output in a given collection of input-output pairs, taking the weight into account.

Uses of ConstantEvaluator in gov.sandia.cognition.learning.function

Methods in gov.sandia.cognition.learning.function that return ConstantEvaluator

Modifier and Type	Method and Description
static <OutputType> ConstantEvaluator<OutputType>	ConstantEvaluator.create(OutputType value) Creates a new ConstantEvaluator for the given value.