Package com.rapidminer.operator.learner.lazy

Learning schemes which perform lazy learning.

See:
Description

Class Summary

AttributeBasedVotingLearner	AttributeBasedVotingLearner is very lazy.
AttributeBasedVotingModel	Average model simply calculates the average of the attributes as prediction.
DefaultLearner	This learner creates a model, that will simply predict a default value for all examples, i.e. the average or median of the true labels (or the mode in case of classification) or a fixed specified value.
DefaultModel	The default model sets the prediction of all examples to the mode value in case of nominal labels and to the average value in case of numerical labels.
KNNClassificationModel	An implementation of a knn model.
KNNLearner	A k nearest neighbor implementation.
KNNRegressionModel	An implementation of a knn model used for regression

Package com.rapidminer.operator.learner.lazy Description

Learning schemes which perform lazy learning. They actually do not learn anything but keep the examples to make prediction on the fly.