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tfr.utils.ragged_to_dense

Converts given inputs from ragged tensors to dense tensors.

tfr.utils.ragged_to_dense(
    labels, predictions, weights
)

Args
`labels`	A `tf.RaggedTensor` of the same shape as `predictions` representing relevance.
`predictions`	A `tf.RaggedTensor` with shape [batch_size, (list_size)]. Each value is the ranking score of the corresponding example.
`weights`	An optional `tf.RaggedTensor` of the same shape of predictions or a `tf.Tensor` of shape [batch_size, 1]. The former case is per-example and the latter case is per-list.

Returns
A tuple (labels, predictions, weights, mask) of dense `tf.Tensor`s.

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Last updated 2023-08-18 UTC.

Args