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metrics
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metrics/CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[UnReleased] - 2021-MM-DD

Added

  • Added prefix argument to MetricCollection (#70)

  • Added CohenKappa metric (#69)

  • Added RetrievalMAP metric for Information Retrieval (#5032)

  • Added average='micro' as an option in AUROC for multilabel problems (#110)

  • Added MatthewsCorrcoef metric (#98)

  • Added multilabel support to ROC metric (#114)

Changed

  • Changed ExplainedVariance from storing all preds/targets to tracking 5 statistics (#68)

Deprecated

Removed

Fixed

  • Fixed when _stable_1d_sort to work when n >= N (#6177)

[0.2.0] - 2021-03-12

Changed

  • Decoupled PL dependency (#13)
  • Refactored functional - mimic the module-like structure: classification, regression, etc. (#16)
  • Refactored utilities - split to topics/submodules (#14)
  • Refactored MetricCollection (#19)

Removed

  • Removed deprecated metrics from PL base (#12, #15)

[0.1.0] - 2021-02-22

  • Added Accuracy metric now generalizes to Top-k accuracy for (multi-dimensional) multi-class inputs using the top_k parameter (PL^4838)
  • Added Accuracy metric now enables the computation of subset accuracy for multi-label or multi-dimensional multi-class inputs with the subset_accuracy parameter (PL^4838)
  • Added HammingDistance metric to compute the hamming distance (loss) (PL^4838)
  • Added StatScores metric to compute the number of true positives, false positives, true negatives and false negatives (PL^4839)
  • Added R2Score metric (PL^5241)
  • Added MetricCollection (PL^4318)
  • Added .clone() method to metrics (PL^4318)
  • Added IoU class interface (PL^4704)
  • The Recall and Precision metrics (and their functional counterparts recall and precision) can now be generalized to Recall@K and Precision@K with the use of top_k parameter (PL^4842)
  • Added compositional metrics (PL^5464)
  • Added AUC/AUROC class interface (PL^5479)
  • Added QuantizationAwareTraining callback (PL^5706)
  • Added ConfusionMatrix class interface (PL^4348)
  • Added multiclass AUROC metric (PL^4236)
  • Added PrecisionRecallCurve, ROC, AveragePrecision class metric (PL^4549)
  • Classification metrics overhaul (PL^4837)
  • Added F1 class metric (PL^4656)
  • Added metrics aggregation in Horovod and fixed early stopping (PL^3775)
  • Added persistent(mode) method to metrics, to enable and disable metric states being added to state_dict (PL^4482)
  • Added unification of regression metrics (PL^4166)
  • Added persistent flag to Metric.add_state (PL^4195)
  • Added classification metrics (PL^4043)
  • Added new Metrics API. (PL^3868, PL^3921)
  • Added EMB similarity (PL^3349)
  • Added SSIM metrics (PL^2671)
  • Added BLEU metrics (PL^2535)