pycm
evaluate
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| pycm | evaluate | |
|---|---|---|
| 18 | 3 | |
| 1,428 | 1,803 | |
| - | 3.8% | |
| 5.0 | 5.2 | |
| 2 months ago | 3 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pycm
- PyCM 4.0 Released: Multilabel Confusion Matrix Support
- PyCM 3.9 Released: Log-loss Support
- PyCM 3.8 Released: Distance/Similarity Support
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[P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added
The complete change log of this version is available here.
- PyCM 3.7 Released: ROC/PR Curve Support
- PyCM 3.6 released: Multi-class confusion matrix library in Python
- PyCM 3.5 released: Multi-class confusion matrix library in Python
- PyCM 3.4 released: Multi-class confusion matrix library in Python
- [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix
evaluate
- [D] The MMSegmentation library from OpenMMLab appears to return the wrong results when computing basic image segmentation metrics such as the Jaccard index (IoU - intersection-over-union). It appears to compute recall (sensitivity) instead of IoU, which artificially inflates the performance metrics.
- [P] Releasing 🤗 Evaluate - an evaluation library for ML
- HuggingFace/evaluate: A library for easily evaluating ML models and datasets
What are some alternatives?
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InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
semantic-kitti-api - SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
rexmex - A general purpose recommender metrics library for fair evaluation.