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
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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.
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static BoostedTreesUpdateEnsembleV2.Options |
logitsDimension(Long logitsDimension)
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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 |
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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 |
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