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Generates hashed feature cross from a list of tensors.
tf.ragged.cross_hashed(
inputs, num_buckets=0, hash_key=None, name=None
)
The input tensors must have rank=2
, and must all have the same number of
rows. The result is a RaggedTensor
with the same number of rows as the
inputs, where result[row]
contains a list of all combinations of values
formed by taking a single value from each input's corresponding row
(inputs[i][row]
). Values are combined by hashing together their
fingerprints. E.g.:
tf.ragged.cross_hashed([tf.ragged.constant([['a'], ['b', 'c']]),
tf.ragged.constant([['d'], ['e']]),
tf.ragged.constant([['f'], ['g']])],
num_buckets=100)
<tf.RaggedTensor [[78], [66, 74]]>
Returns | |
---|---|
A 2D RaggedTensor of type int64 .
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