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.