Add AUROC #546
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Add AUROC #546
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fcogidi
added
enhancement
Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## main #546 +/- ##
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+ Coverage 69.67% 70.02% +0.35%
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Files 112 114 +2
Lines 10706 10916 +210
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+ Hits 7459 7644 +185
- Misses 3247 3272 +25
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rjavadi
pushed a commit
that referenced
this pull request
Jan 30, 2024
* Add AUROC metric to experimental module * Refactor binary and multiclass ROC functions * Refactor tests to use a common thresholds list * Fix mypy error
amrit110
added a commit
that referenced
this pull request
Feb 11, 2024
* Changed documentation theme to sphinx-book-theme * Added details about Pandoc requirment * Added initial document for accuracy.py * Fix pre-commit hook errors * Added confusion matrix doc * Add auroc doc and fix titles * Add average precision docs * Added more documents for metrics * Add index for user guide in side bar * Minor patches (#542) * Fix capitalization of Python * Change ValueError to TypeError and update docstrings * Add Precision-Recall Curve to experimental metrics (#544) * Add ROC curve (#545) * Add ROC metrics to experimental module * fix typo * Fix docstrings * Add AUROC (#546) * Add AUROC metric to experimental module * Refactor binary and multiclass ROC functions * Refactor tests to use a common thresholds list * Fix mypy error * Add regression metrics (#547) * Add regression support * update docstrings * Ignore `no-any-return` errors * Integrate experimental metrics with other modules (#549) * integrate experimental metrics with other modules * add average precision metric to experimental metrics package * fix tutorials * Add type hints and keyword arguments to metrics classes * Update nbsphinx version to 0.9.3 * Update nbconvert version to 7.14.2 * Fix type annotations and formatting issues * Update kernel display name in mortality_prediction.ipynb * Add guard clause to prevent module execution on import * Update `torch_distributed.py` with type hints * Add multiclass and multilabel average precision metrics * Change jupyter kernel * Fix type annotations for metric values in ClassificationPlotter --------- Co-authored-by: Amrit K <amritk@vectorinstitute.ai> * Changed documentation theme to sphinx-book-theme * Don't update deps * Pre-commit fixes * Add doc for ROC Curve * Fix footer in docs * Bump to 0.2.3 Signed-off-by: Amrit Krishnan <amrit110@gmail.com> * Add logo and css fixes * Fix formatting of conf.py file * Small fix * Move evaluation metrics docs under API reference * Fix poetry build * Improve documentation structure * Formatting fixes --------- Signed-off-by: Amrit Krishnan <amrit110@gmail.com> Co-authored-by: Franklin <41602287+fcogidi@users.noreply.github.com> Co-authored-by: Amrit K <amritk@vectorinstitute.ai> Co-authored-by: Amrit Krishnan <amrit110@gmail.com>
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PR Type
Feature.
Short Description
Add AUROC metric to the experimental metrics module.
Tests Added
tests/cyclops/evaluate/metrics/test_auroc.py