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Add F1 score, precision, and recall metrics as MultilabelSegmentation default metrics #1336
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Add F1 score, precision, and recall metrics as MultilabelSegmentation default metrics #1336
Commits on Apr 20, 2023
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add support for "per class" metric for MultilabelSegmentation
Still support "global" metrics, BUT they have to be of a binary type.
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Commits on Apr 21, 2023
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Commits on Apr 24, 2023
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Revert "add Loggable and LoggableHistogram classes" (oops, wrong branch)
This reverts commit a890ef6.
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Commits on Apr 25, 2023
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Commits on May 2, 2023
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make MultilabelSegmentation global metric actually be multilabel
(uses ignore_index for that, which ignores all targets of that index for computations, in pyannote's case : -1)
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Merge branch 'multilabel_default_metrics' of github.com:FrenchKrab/py…
…annote-audio into multilabel_default_metrics
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Commits on May 10, 2023
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Commits on May 11, 2023
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Revert "add ignore_index to default_metric_classwise"
This reverts commit 5f51b50.
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Commits on Jun 8, 2023
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Commits on Jun 12, 2023
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feat(task): add support for multi-task models (pyannote#1374)
BREAKING(model): get rid of (flaky) `Model.introspection`
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Commits on Jun 15, 2023
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Commits on Jun 22, 2023
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Commits on Jun 23, 2023
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feat(pipeline): add
return_embeddings
option to `SpeakerDiarization……` pipeline Co-authored-by: Hervé BREDIN <hbredin@users.noreply.github.com>
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Commits on Jun 27, 2023
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Commits on Jun 28, 2023
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Commits on Jul 9, 2023
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Commits on Jul 16, 2023
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Commits on Aug 2, 2023
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Commits on Aug 7, 2023
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Commits on Aug 30, 2023
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Commits on Sep 15, 2023
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Commits on Sep 18, 2023
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