public final class
BoostedTreesMakeStatsSummary
Makes the summary of accumulated stats for the batch.
The summary stats contains gradients and hessians accumulated into the corresponding node and bucket for each example.
Public Methods
| Output<Float> |
asOutput()
Returns the symbolic handle of a tensor.
|
| static BoostedTreesMakeStatsSummary | |
| Output<Float> |
statsSummary()
output Rank 4 Tensor (shape=[#features, #splits, #buckets, 2]) containing accumulated stats put into the corresponding node 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 BoostedTreesMakeStatsSummary create (Scope scope, Operand<Integer> nodeIds, Operand<Float> gradients, Operand<Float> hessians, Iterable<Operand<Integer>> bucketizedFeaturesList, Long maxSplits, Long numBuckets)
Factory method to create a class wrapping a new BoostedTreesMakeStatsSummary operation.
Parameters
| scope | current scope |
|---|---|
| nodeIds | int32 Rank 1 Tensor containing node ids, which each example falls into for the requested layer. |
| gradients | float32; Rank 2 Tensor (shape=[#examples, 1]) for gradients. |
| hessians | float32; Rank 2 Tensor (shape=[#examples, 1]) for hessians. |
| bucketizedFeaturesList | int32 list of Rank 1 Tensors, each containing the bucketized feature (for each feature column). |
| 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 BoostedTreesMakeStatsSummary
public Output<Float> statsSummary ()
output Rank 4 Tensor (shape=[#features, #splits, #buckets, 2]) containing accumulated stats put into the corresponding node and bucket. The first index of 4th dimension refers to gradients, and the second to hessians.