Version 1.1

• Zero-one loss added
• Support added
• online_help function added
• README.md modified
• html_table function modified
• table_print function modified
• normalized_table_print function modified

Version 1.0

• Hamming loss added
• README.md modified

Version 0.9.5

• Obj load added
• Obj save added
• Example-4 added
• README.md modified
• Block diagram updated

Version 0.9

• Activation Threshold added
• Example-3 added
• Jaccard index added
• Overall Jaccard index added
• README.md modified
• setup.py modified

Version 0.8.6

• Example section in document added
• Python 2.7 CI added
• JOSS paper pdf added
• Cite section modified
• ConfusionMatrix docstring modified
• round function changed to numpy.around
• README.md modified

Version 0.8.5

• Confusion matrix size in HTML report modified
• Example-1 (Comparison of three different classifiers) added
• Example-2 (How to plot via matplotlib) added
• ConfusionMatrix docstring added
• JOSS paper added
• Test system modified
• README.md modified

Version 0.8.1

1.New parameters added :

• Goodman and Kruskal's lambda B
• Goodman and Kruskal's lambda A
• Cross Entropy
• Conditional Entropy
• Joint Entropy
• Reference Entropy
• Response Entropy
• Kullback-Liebler divergence
• Mutual Information
• Kappa Unbiased
• Kappa No Prevalence
• Random Accuracy Unbiased

2. Direct ConfusionMatrix added
3. pycmVectorError class added
4. pycmMatrixError class added
5. Support numpy arrays
6. pycmError class removed

Version 0.7

1. New parameters added :

• Cramer's V
• 95% Confidence interval
• Chi-Squared
• Phi-Squared
• Chi-Squared DF
• Standard error
• Kappa standard error
• Kappa 95% confidence interval
• Cicchetti benchmark

2. Parameters description links in HTML report modified
3. Confusion matrix color in HTML report modified

Version 0.6

1. CSV Report added (save_csv)
2. Changelog added
3. Confusion matrix color in HTML report changed
4. Parameters description links in HTML report added

Version 0.5

1. New parameters added :

• Scott's pi
• Gwet's AC1
• Bennett S score

2. HTML Report Added (save_html)