Package org.apache.ignite.ml.composition.boosting.loss

• Interface Summary 

  Interface	Description
  Loss	Loss interface of computing error or gradient of error on specific row in dataset.

• Class Summary 

  Class	Description
  LogLoss	Logistic regression loss function.
  SquaredError	Represent error function as E(label, modelAnswer) = 1/N * (label - prediction)^2

Package org.apache.ignite.ml.composition.boosting.loss Description