public final class
BoostedTreesTrainingPredict
Runs multiple additive regression ensemble predictors on input instances and
computes the update to cached logits. It is designed to be used during training. It traverses the trees starting from cached tree id and cached node id and calculates the updates to be pushed to the cache.
Public Methods
| static BoostedTreesTrainingPredict | |
| Output<Integer> |
nodeIds()
Rank 1 Tensor containing new node ids in the new tree_ids.
|
| Output<Float> |
partialLogits()
Rank 2 Tensor containing logits update (with respect to cached
values stored) for each example.
|
| Output<Integer> |
treeIds()
Rank 1 Tensor containing new tree ids for each example.
|
Inherited Methods
Public Methods
public static BoostedTreesTrainingPredict create (Scope scope, Operand<?> treeEnsembleHandle, Operand<Integer> cachedTreeIds, Operand<Integer> cachedNodeIds, Iterable<Operand<Integer>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesTrainingPredict operation.
Parameters
| scope | current scope |
|---|---|
| cachedTreeIds | Rank 1 Tensor containing cached tree ids which is the starting tree of prediction. |
| cachedNodeIds | Rank 1 Tensor containing cached node id which is the starting node of prediction. |
| bucketizedFeatures | A list of rank 1 Tensors containing bucket id for each feature. |
| logitsDimension | scalar, dimension of the logits, to be used for partial logits shape. |
Returns
- a new instance of BoostedTreesTrainingPredict
public Output<Float> partialLogits ()
Rank 2 Tensor containing logits update (with respect to cached values stored) for each example.