Connectionists: PyCM 2.6 released: Machine learning library for confusion matrix statistical analysis

[Sepand Haghighi]

https://github.com/sepandhaghighi/pycm

http://www.pycm.ir

Changelog :
   
   - custom_rounder function added #279
   - complement function added
   - sparse_matrix attribute added #185
   - sparse_normalized_matrix attribute added #185
   - Net benefit (NB) added #264
   - Yule's Q interpretation (QI) added #267
   - Adjusted Rand index (ARI) added #270
   - TNR micro/macro added #284
   - FPR micro/macro added #284
   - FNR micro/macro added #284
   - sparse parameter added to print_matrix,print_normalized_matrix and save_stat methods #185
   - header parameter added to save_csv method #282
   - Handler functions moved to pycm_handler.py
   - Error objects moved to pycm_error.py
   - Verified tests references updated
   - Verified tests moved to verified_test.py
   - Test system modified
   - CONTRIBUTING.md updated
   - Namespace optimized
   - README.md modified #266
   - Document modified
   - print_normalized_matrix method modified #279
   - normalized_table_calc function modified #279
   - setup.py modified
   - summary mode updated #284
   - Dockerfile updated
   - Python 3.8 added to .travis.yaml and appveyor.yml


Best RegardsSepand Haghighi
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