tft.bucketize_per_key
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Returns a bucketized column, with a bucket index assigned to each input.
tft.bucketize_per_key(
x: common_types.ConsistentTensorType,
key: common_types.ConsistentTensorType,
num_buckets: int,
epsilon: Optional[float] = None,
weights: Optional[common_types.ConsistentTensorType] = None,
name: Optional[str] = None
) -> common_types.ConsistentTensorType
Args |
x
|
A numeric input Tensor , SparseTensor , or RaggedTensor with rank 1,
whose values should be mapped to buckets. CompositeTensor s will have
their non-missing values mapped and missing values left as missing.
|
key
|
A Tensor , SparseTensor , or RaggedTensor with the same shape as
x and dtype tf.string. If x is a CompositeTensor , key must
exactly match x in everything except values, i.e. indices and
dense_shape or nested row splits must be identical.
|
num_buckets
|
Values in the input x are divided into approximately
equal-sized buckets, where the number of buckets is num_buckets.
|
epsilon
|
(Optional) see bucketize .
|
weights
|
(Optional) A Tensor , SparseTensor , or RaggedTensor with the
same shape as x and dtype tf.float32. Used as weights for quantiles
calculation. If x is a CompositeTensor , weights must exactly match
x in everything except values.
|
name
|
(Optional) A name for this operation.
|
Returns |
A Tensor , SparseTensor , or RaggedTensor of the same shape as x , with
each element in the returned tensor representing the bucketized value.
Bucketized value is in the range [0, actual_num_buckets). If the computed
key vocabulary doesn't have an entry for key then the resulting bucket is
-1.
|
Raises |
ValueError
|
If value of num_buckets is not > 1.
|
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Last updated 2024-11-01 UTC.
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