Package com.rapidminer.operator.learner.functions

This package contains learners based on the concept of function approximation.

See:
Description

Class Summary

FastLargeMargin	Applies a fast margin learner based on the linear support vector learning scheme proposed by R.
FastMarginModel	This is the model of the fast margin learner which learns a linear SVM in linear time.
HyperplaneModel	This model is a separating hyperplane for two classes.
LinearRegression	This operator calculates a linear regression model.
LinearRegressionModel	The model for linear regression.
LogisticRegression	This operator determines a logistic regression model.
LogisticRegressionModel	The model determined by the LogisticRegression operator.
LogisticRegressionOptimization	Evolutionary Strategy approach for optimization of the logistic regression problem.
Perceptron	The perceptron is a type of artificial neural network invented in 1957 by Frank Rosenblatt.
PolynomialRegression	This regression learning operator fits a polynomial of all attributes to the given data set.
PolynomialRegressionModel	The model for the polynomial regression.
SeeminglyUnrelatedRegressionModel	This is the model of a SUR regression.
SeeminglyUnrelatedRegressionOperator	This operator performs a seemingly unrelated regression from several data sets to make use of common effects in the label that are not explainable from attributes.
VectorLinearRegression	This operator performs a vector linear regression.
VectorRegressionModel	The model for vector linear regression.

Package com.rapidminer.operator.learner.functions Description

This package contains learners based on the concept of function approximation. In general, almost all learners concentrating on numerical optimization can be found here.