tf.raw_ops.BoostedTreesMakeStatsSummary
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Makes the summary of accumulated stats for the batch.
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tf.compat.v1.raw_ops.BoostedTreesMakeStatsSummary
tf . raw_ops . BoostedTreesMakeStatsSummary (
node_ids ,
gradients ,
hessians ,
bucketized_features_list ,
max_splits ,
num_buckets ,
name = None
)
The summary stats contains gradients and hessians accumulated into the corresponding node and bucket for each example.
Args
node_ids
A Tensor
of type int32
.
int32 Rank 1 Tensor containing node ids, which each example falls into for the requested layer.
gradients
A Tensor
of type float32
.
float32; Rank 2 Tensor (shape=[#examples, 1]) for gradients.
hessians
A Tensor
of type float32
.
float32; Rank 2 Tensor (shape=[#examples, 1]) for hessians.
bucketized_features_list
A list of at least 1 Tensor
objects with type int32
.
int32 list of Rank 1 Tensors, each containing the bucketized feature (for each feature column).
max_splits
An int
that is >= 1
.
int; the maximum number of splits possible in the whole tree.
num_buckets
An int
that is >= 1
.
int; equals to the maximum possible value of bucketized feature.
name
A name for the operation (optional).
Returns
A Tensor
of type float32
.
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Last updated 2024-01-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]