Returns a bucketized column, with a bucket index assigned to each input.
tft.apply_buckets(
x, bucket_boundaries, name=None
)
Args |
|---|
x
|
A numeric input Tensor or SparseTensor whose values should be mapped
to buckets. For SparseTensors, the non-missing values will be mapped
to buckets and missing value left missing.
|
bucket_boundaries
|
The bucket boundaries represented as a rank 2 Tensor.
|
name
|
(Optional) A name for this operation.
|
Returns |
|---|
A Tensor of the same shape as x, with each element in the
returned tensor representing the bucketized value. Bucketized value is
in the range [0, len(bucket_boundaries)].
|
View source on GitHub