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Handle a regression problem inducing the model on pairs A,B of instances

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pairwiseprediction

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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
      1. 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
      1. the prediction is the value provided directly by the regressor
      1. the regression value can be converted to a hard prediction through binarization

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