Version 4.0

• pycmMultiLabelError class added #211
• MultiLabelCM class added #211
• get_cm_by_class method added #211
• get_cm_by_sample method added #211
• __mlcm_vector_handler__ function added #211
• __mlcm_assign_classes__ function added #211
• __mlcm_vectors_filter__ function added #211
• __set_to_multihot__ function added #211
• deprecated function added #499
• Document modified #496
• README.md modified
• Example-4 modified #496
• Test system modified
• Python 3.5 support dropped

Acknowledgment

This version has been funded by the NLnet foundation

Version 3.9

• OVERALL_PARAMS dictionary added
• __imbalancement_handler__ function added
• vector_serializer function added
• NPV micro/macro added #435
• log_loss method added #387
• 23 new distance/similarity added #349 #350
  1. Dennis
  2. Digby
  3. Dispersion
  4. Doolittle
  5. Eyraud
  6. Fager & McGowan
  7. Faith
  8. Fleiss-Levin-Paik
  9. Forbes I
  10. Forbes II
  11. Fossum
  12. Gilbert & Wells
  13. Goodall
  14. Goodman & Kruskal's Lambda
  15. Goodman & Kruskal Lambda-r
  16. Guttman's Lambda A
  17. Guttman's Lambda B
  18. Hamann
  19. Harris & Lahey
  20. Hawkins & Dotson
  21. Kendall's Tau
  22. Kent & Foster I
  23. Kent & Foster II
• metrics_off parameter added to ConfusionMatrix __init__ method #341
• CLASS_PARAMS changed to a dictionary
• Code style modified
• sort parameter added to relabel method #412
• Document modified
• CONTRIBUTING.md updated
• codecov removed from dev-requirements.txt #492
• Test system modified #488 #492

Acknowledgment

This version has been funded by the NLnet foundation

Version 3.8

• distance method added #349 #350
• __contains__ method added
• __getitem__ method added
• Goodman-Kruskal's Lambda A benchmark added
• Goodman-Kruskal's Lambda B benchmark added
• Krippendorff's Alpha benchmark added
• Pearson's C benchmark added
• 30 new distance/similarity added #349 #350
  1. AMPLE
  2. Anderberg's D
  3. Andres & Marzo's Delta
  4. Baroni-Urbani & Buser I
  5. Baroni-Urbani & Buser II
  6. Batagelj & Bren
  7. Baulieu I
  8. Baulieu II
  9. Baulieu III
  10. Baulieu IV
  11. Baulieu V
  12. Baulieu VI
  13. Baulieu VII
  14. Baulieu VIII
  15. Baulieu IX
  16. Baulieu X
  17. Baulieu XI
  18. Baulieu XII
  19. Baulieu XIII
  20. Baulieu XIV
  21. Baulieu XV
  22. Benini I
  23. Benini II
  24. Canberra
  25. Clement
  26. Consonni & Todeschini I
  27. Consonni & Todeschini II
  28. Consonni & Todeschini III
  29. Consonni & Todeschini IV
  30. Consonni & Todeschini V
• relabel method sort bug fixed
• README.md modified
• Compare overall benchmarks default weights updated
• Document modified
• Test system modified

Acknowledgment

This version has been funded by the NLnet foundation

Version 3.7

• Curve class added #355
• ROCCurve class added #355
• PRCurve class added #355
• pycmCurveError class added #355
• CONTRIBUTING.md updated
• matrix_params_calc function optimized
• README.md modified
• Document modified
• Test system modified
• Python 3.11 added to test.yml

Acknowledgment

This version has been funded by the NLnet foundation and Python Software Foundation (PSF)

Version 3.6

• Hamming distance added #350
• Braun-Blanquet similarity added #349
• classes parameter added to matrix_params_from_table function
• Matrices with numpy.integer elements are now accepted
• Arrays added to matrix parameter accepting formats #402
• Website changed to http://www.pycm.io
• Document modified
• README.md modified

Acknowledgment

This version has been funded by the NLnet foundation

Version 3.5

• Anaconda workflow added
• Custom iterating setting added #409
• Custom casting setting added #409
• plot method updated #408
• class_statistics function modified
• overall_statistics function modified
• BCD_calc function modified
• CONTRIBUTING.md updated
• CODE_OF_CONDUCT.md updated #399
• Document modified

Version 3.4

• Colab badge added #389
• Discord badge added #397
• brier_score method added #219
• J (Jaccard index) section in Document.ipynb updated #401
• save_obj method updated #219
• Python 3.10 added to test.yml #391
• Example-3 updated #405
• Docstrings of the functions updated #345
• CONTRIBUTING.md updated #345

Version 3.3

• __compare_weight_handler__ function added #347
• is_imbalanced parameter added to ConfusionMatrix __init__ method #276
• class_benchmark_weight and overall_benchmark_weight parameters added to Compare __init__ method #347
• statistic_recommend function modified #276
• Compare weight parameter renamed to class_weight #347
• Document modified
• License updated
• AUTHORS.md updated
• README.md modified
• Block diagrams updated

Version 3.2

• classes_filter function added #358
• classes parameter added to matrix_params_calc function #358
• classes parameter added to __obj_vector_handler__ function #358
• classes parameter added to ConfusionMatrix __init__ method #358
• name parameter removed from html_init function
• shortener parameter added to html_table function #364
• shortener parameter added to save_html method #364
• Document modified
• HTML report modified

Version 3.1

• requirements-splitter.py added
• sensitivity_index method added #357
• Test system modified #361
• overall_statistics function modified #346
• HTML report modified #367
• Document modified
• References format updated #173
• CONTRIBUTING.md updated