|
| ||||
| |||||
| Package | Description |
|---|---|
| org.apache.ignite.ml.composition.boosting |
Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.
|
| org.apache.ignite.ml.composition.boosting.convergence |
Package contains implementation of convergency checking algorithms for gradient boosting.
|
| org.apache.ignite.ml.composition.boosting.convergence.mean |
Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.median |
Contains implementation of convergence checking computer by median of medians of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.simple |
Contains implementation of Stub for convergence checking.
|
| org.apache.ignite.ml.composition.boosting.loss |
Contains loss functions for Gradient Boosting algorithms.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
| Class and Description |
|---|
| Loss
Loss interface of computing error or gradient of error on specific row in dataset.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024