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.