# 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.

2020 Copyright © Apache Software Foundation
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Ignite Database and Caching Platform | : ver. 2.9.0
Release Date | : October 15 2020