Handle a regression problem inducing the model on pairs A,B of instances
Project description
Handle a regression problem inducing the model on pairs A,B of instances.
Last column of X
is the continuous target. y
is ignored.
Four modes are hipotetically possible, although only mode 2 is provided by now to ease compatibility with sklearn: * a classification algorithm is trained to tell when instance A has higher target than instance B * 1) the prediction is based on interpolation which is the type of result expected from a regression * 2) the interpolated value can be converted to a hard prediction through binarization * a regression algorithm is trained to predict the difference between target values of A,B * 3) the prediction is the value provided directly by the regressor * 4) the regression value can be converted to a hard prediction through binarization
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