regression_data

#RegressionData

##Description The RegressionData structure is the main data structure for recording, labeling, managing, saving, and training the GRT supervised regression algorithms.

As of GRT revision 347, this replaces the LabelledRegressionData data structure, however a typedef enables you to still use the LabelledRegressionData in your old code if needed.

##Suitable Regression Algorithms The RegressionData data structure should be used to train and test the following GRT regression algorithms:

• Linear Regression
• Logistic Regression
• Multidimensional Regression
• Multi Layer Perceptron (MLP)

##Things To Know The only thing you really need to know about the RegressionData class is that you must set the number of input dimensions and number of target dimensions of your dataset before you try and add samples to the training dataset (see the example below for how to do this).

##Example RegressionData