Fast-stats

Latest version: v1.3.2

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1.3.0

- Major feature: Refactor to no longer copy arrays
- Major feature: Rust calls to keep GIL (side-effect of not copying data)
- Efficiency: Single-threaded performance has improved in majority of cases (no copying)
- Minor: Add `bump2version` usage

1.2.1

Adding `mypy` support and `bandit` security scans

1.2.0

Adds `iou` function.

1.1.0

Adding high-level API including binary_tp_fp_fn, binary_stats and stats functions to increase functionality.

1.0.0

Supports:
- binary precision, recall and f1-score
- multi-class precision, recall and f1-score
- calculation of confusion matrices
- benchmarks folder shows both speedup over scikit-learn, numpy (in binary case), and a multithreading example

0.0.4

Adds calculation of confusion matrix to fast-stats. See `benchmarks/timeit.ipynb` for more details.

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