Implement two new scipy-compatible distributions : Log-Nakagami (lognakagami) and Log-Gamma (loggamma_dist), with complete logpdf/cdf/ppf/stats/entropy/rvs methods derived from the change-of-variable Y = ln(X). Add kl_statistic, a KDE-based KL-divergence goodness-of-fit callable compatible with the Fitter class. Extend k_gen with _stats (improving speed), _cdf, and a fit guard, and switch kv → kve to improve numerical stability at large arguments. Add unit tests for all three additions covering normalization, monotonicity, ppf inversion, moment formulas, and Fitter integration.
39 lines
553 B
Plaintext
39 lines
553 B
Plaintext
# ---> Linux
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*~
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# temporary files which can be created if a process still has a handle open of a deleted file
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.fuse_hidden*
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# KDE directory preferences
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.directory
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# Linux trash folder which might appear on any partition or disk
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.Trash-*
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# .nfs files are created when an open file is removed but is still being accessed
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.nfs*
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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dist/
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build/
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# uv
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.venv/
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# Jupyter
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.ipynb_checkpoints/
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# Data (large files)
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data/*
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!data/.gitkeep
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# Claude Code
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.claude/
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etc/tools/read_raw_data.py
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scripts/separate_data.py
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