Package gov.sandia.cognition.learning.algorithm.baseline

Provides baseline (dummy) learning algorithms.

See:
          Description

Class Summary
ConstantLearner<ValueType> A learner that always returns the same value as the result.
IdentityLearner<ValueType> A batch learner implementation that just returns its inputs, creating an identity function.
MeanLearner The MeanLearner class implements a baseline learner that computes the mean of a given set of values.
MostFrequentLearner<OutputType> The MostFrequentLearner class implements a baseline learner that computes the most frequent output value.
WeightedMeanLearner The WeightedMeanLearner class implements a baseline learner that computes the weighted mean output value.
WeightedMostFrequentLearner<OutputType> The WeightedMostFrequentLearner class implements a baseline learning algorithm that finds the most frequent output of a given dataset based on the weights of the examples.
 

Package gov.sandia.cognition.learning.algorithm.baseline Description

Provides baseline (dummy) learning algorithms.

Since:
2.1
Author:
Justin Basilico