This category contains 5399 nodes.
Class for building a multinomial logistic regression model with a ridge estimator.
Predicts the response using a general regression model.
Filters out numeric columns, which have a low variance.
Filters out numeric columns, which have a low variance.
Class for performing locally weighted learning.
Generates a decision list for regression problems using separate-and-conquer.
Implements routines for generating M5 model trees.
Aggregates several columns into one single column.
Aggregates several columns into one single column.
Transforms the values of multiple columns into a single column while generating PMML.
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