public final class
BoostedTreesAggregateStats
Aggregates the summary of accumulated stats for the batch.
The summary stats contains gradients and hessians accumulated for each node, feature dimension id and bucket.
Public Methods
| Output<Float> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static BoostedTreesAggregateStats | |
| Output<Float> |
statsSummary()
output Rank 4 Tensor (shape=[splits, feature_dimension, buckets, logits_dimension + hessian_dimension])
containing accumulated stats for each node, feature dimension and bucket.
|
Inherited Methods
Public Methods
public Output<Float> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static BoostedTreesAggregateStats create (Scope scope, Operand<Integer> nodeIds, Operand<Float> gradients, Operand<Float> hessians, Operand<Integer> feature, Long maxSplits, Long numBuckets)
Factory method to create a class wrapping a new BoostedTreesAggregateStats operation.
Parameters
| scope | current scope |
|---|---|
| nodeIds | int32; Rank 1 Tensor containing node ids for each example, shape [batch_size]. |
| gradients | float32; Rank 2 Tensor (shape=[batch_size, logits_dimension]) with gradients for each example. |
| hessians | float32; Rank 2 Tensor (shape=[batch_size, hessian_dimension]) with hessians for each example. |
| feature | int32; Rank 2 feature Tensors (shape=[batch_size, feature_dimension]). |
| maxSplits | int; the maximum number of splits possible in the whole tree. |
| numBuckets | int; equals to the maximum possible value of bucketized feature. |
Returns
- a new instance of BoostedTreesAggregateStats
public Output<Float> statsSummary ()
output Rank 4 Tensor (shape=[splits, feature_dimension, buckets, logits_dimension + hessian_dimension]) containing accumulated stats for each node, feature dimension and bucket.