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

Contains loss functions for Gradient Boosting algorithms.

See: Description

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

Contains loss functions for Gradient Boosting algorithms.