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
)

Args
`x`	A numeric input `Tensor` or `SparseTensor` with rank 1, whose values should be mapped to buckets. `SparseTensor`s 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.

Args