public final class
BoostedTreesUpdateEnsembleV2
Updates the tree ensemble by adding a layer to the last tree being grown
or by starting a new tree.
Nested Classes
| class | BoostedTreesUpdateEnsembleV2.Options |
Optional attributes for
BoostedTreesUpdateEnsembleV2
|
|
Public Methods
| static BoostedTreesUpdateEnsembleV2 |
create
(
Scope
scope,
Operand
<?> treeEnsembleHandle, Iterable<
Operand
<Integer>> featureIds, Iterable<
Operand
<Integer>> dimensionIds, Iterable<
Operand
<Integer>> nodeIds, Iterable<
Operand
<Float>> gains, Iterable<
Operand
<Integer>> thresholds, Iterable<
Operand
<Float>> leftNodeContribs, Iterable<
Operand
<Float>> rightNodeContribs, Iterable<
Operand
<String>> splitTypes,
Operand
<Integer> maxDepth,
Operand
<Float> learningRate,
Operand
<Integer> pruningMode,
Options...
options)
Factory method to create a class wrapping a new BoostedTreesUpdateEnsembleV2 operation.
|
| static BoostedTreesUpdateEnsembleV2.Options |
logitsDimension
(Long logitsDimension)
|
Inherited Methods
Public Methods
public static BoostedTreesUpdateEnsembleV2 create ( Scope scope, Operand <?> treeEnsembleHandle, Iterable< Operand <Integer>> featureIds, Iterable< Operand <Integer>> dimensionIds, Iterable< Operand <Integer>> nodeIds, Iterable< Operand <Float>> gains, Iterable< Operand <Integer>> thresholds, Iterable< Operand <Float>> leftNodeContribs, Iterable< Operand <Float>> rightNodeContribs, Iterable< Operand <String>> splitTypes, Operand <Integer> maxDepth, Operand <Float> learningRate, Operand <Integer> pruningMode, Options... options)
Factory method to create a class wrapping a new BoostedTreesUpdateEnsembleV2 operation.
Parameters
| scope | current scope |
|---|---|
| treeEnsembleHandle | Handle to the ensemble variable. |
| featureIds | Rank 1 tensor with ids for each feature. This is the real id of the feature that will be used in the split. |
| dimensionIds | List of rank 1 tensors representing the dimension in each feature. |
| nodeIds | List of rank 1 tensors representing the nodes for which this feature has a split. |
| gains | List of rank 1 tensors representing the gains for each of the feature's split. |
| thresholds | List of rank 1 tensors representing the thesholds for each of the feature's split. |
| leftNodeContribs | List of rank 2 tensors with left leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the left nodes. |
| rightNodeContribs | List of rank 2 tensors with right leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the right nodes. |
| splitTypes | List of rank 1 tensors representing the split type for each feature. |
| maxDepth | Max depth of the tree to build. |
| learningRate | shrinkage const for each new tree. |
| pruningMode | 0-No pruning, 1-Pre-pruning, 2-Post-pruning. |
| options | carries optional attributes values |
Returns
- a new instance of BoostedTreesUpdateEnsembleV2
public static BoostedTreesUpdateEnsembleV2.Options logitsDimension (Long logitsDimension)
Parameters
| logitsDimension | scalar, dimension of the logits |
|---|