tft.bucketize_per_key

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

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

Args:

• 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.

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, actual_num_buckets).

Raises:

• ValueError: If value of num_buckets is not > 1.