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Add a couple of options to learn-to-rank losses and metrics #125

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Add a couple of options to learn-to-rank losses and metrics #125

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2 changes: 1 addition & 1 deletion rax/_src/losses.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@ def softmax_loss(
weights: An optional ``[..., list_size]``-:class:`~jax.Array`, indicating
the weight for each item.
label_fn: A label function that maps labels to probabilities. Default keeps
labels as-is.
labels as-is. See rax.utils.normalize_probabilities for an example.
reduce_fn: An optional function that reduces the loss values. Can be
:func:`jax.numpy.sum` or :func:`jax.numpy.mean`. If ``None``, no reduction
is performed.
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2 changes: 2 additions & 0 deletions rax/utils.py
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Expand Up @@ -19,6 +19,7 @@
from rax._src.utils import approx_ranks
from rax._src.utils import compute_pairs
from rax._src.utils import cutoff
from rax._src.utils import normalize_probabilities
from rax._src.utils import ranks
from rax._src.utils import safe_reduce

Expand All @@ -27,6 +28,7 @@
"approx_ranks",
"compute_pairs",
"cutoff",
"normalize_probabilities",
"pairwise_loss",
"ranks",
"safe_reduce",
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