tfr.utils.ragged_to_dense
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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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-08-18 UTC."],[],[]]