See: Description
Class | Description |
---|---|
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. |