tft.bucketize_per_key

Returns a bucketized column, with a bucket index assigned to each input.

tft.bucketize_per_key(
    x, key, num_buckets, epsilon=None, name=None
)

x A numeric input Tensor or SparseTensor with rank 1, whose values should be mapped to buckets. SparseTensors will have their non-missing values mapped and missing values left as missing.
key A Tensor or SparseTensor with the same shape as x and dtype tf.string. If x is a SparseTensor, key must exactly match x in everything except values, i.e. indices and dense_shape 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
name (Optional) A name for this operation.

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, actual_num_buckets).

ValueError If value of num_buckets is not > 1.