Version 3.5

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

 Source Code (.Zip) (871 KB)

 Source Code (.tar.gz) (836 KB)

 Version 3.4

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

 Source Code (.Zip) (870 KB)

 Source Code (.tar.gz) (834 KB)

 Version 3.3

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

 Source Code (.Zip) (865 KB)

 Source Code (.tar.gz) (830 KB)

 Version 3.2

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

 Source Code (.Zip) (1.1 MB)

 Source Code (.tar.gz) (1.1 MB)

 Version 3.1

  • requirements-splitter.py added
  • sensitivity_index method added
  • Test system modified
  • overall_statistics function modified
  • HTML report modified
  • Document modified
  • References format updated
  • CONTRIBUTING.md updated

 Source Code (.Zip) (1.1 MB)

 Source Code (.tar.gz) (1.1 MB)

 Version 3.0

  • plot_test.py added
  • axes_gen function added
  • add_number_label function added
  • plot method added
  • combine method added
  • matrix_combine function added
  • Document modified
  • README.md modified
  • Example-2 deprecated
  • Example-7 deprecated
  • Error messages modified

 Source Code (.Zip) (1.1 MB)

 Source Code (.tar.gz) (1.1 MB)

 Version 2.9

  • notebook_check.py added
  • to_array method added
  • __copy__ method added
  • copy method added
  • average method refactored

 Source Code (.Zip) (1 MB)

 Source Code (.tar.gz) (1 MB)

 Version 2.8

  • label_map attribute added
  • positions attribute added
  • position method added
  • Krippendorff's Alpha added
  • Aickin's Alpha added
  • weighted_alpha method added
  • Single class bug fixed
  • CLASS_NUMBER_ERROR error type changed to pycmMatrixError
  • relabel method bug fixed
  • Document modified
  • README.md modified

 Source Code (.Zip) (1 MB)

 Source Code (.tar.gz) (1 MB)

 Version 2.7

  • average method added
  • weighted_average method added
  • weighted_kappa method added
  • pycmAverageError class added
  • Bangdiwala's B added
  • MATLAB examples added
  • Github action added
  • Document modified
  • README.md modified
  • relabel method bug fixed
  • sparse_table_print function bug fixed
  • matrix_check function bug fixed
  • Minor bug in Compare class fixed
  • Class names mismatch bug fixed

 Source Code (.Zip) (1 MB)

 Source Code (.tar.gz) (1 MB)

 Version 2.6

  • custom_rounder function added
  • complement function added
  • sparse_matrix attribute added
  • sparse_normalized_matrix attribute added
  • Net benefit (NB) added
  • Yule's Q interpretation (QI) added
  • Adjusted Rand index (ARI) added
  • TNR micro/macro added
  • FPR micro/macro added
  • FNR micro/macro added
  • sparse parameter added
  • header parameter added to save_csv method
  • 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
  • Document modified
  • print_normalized_matrix method modified
  • normalized_table_calc function modified
  • setup.py modified
  • summary mode updated
  • Dockerfile updated
  • Python 3.8 added to .travis.yaml and appveyor.yml

 Source Code (.Zip) (1 MB)

 Source Code (.tar.gz) (1 MB)

 Version 2.5

  • __version__ variable added
  • Individual classification success index (ICSI) added
  • Classification success index (CSI) added
  • Example-8 (Confidence interval) added
  • install.sh added
  • autopep8.sh added
  • Dockerfile added
  • CI method added to
    • ACC
    • AUC
    • Overall ACC
    • Kappa
    • TPR
    • TNR
    • PPV
    • NPV
    • PLR
    • NLR
    • PRE
  • test.sh moved to .travis folder
  • Python 3.4 support dropped
  • Python 2.7 support dropped
  • AUTHORS.md updated
  • save_stat,save_csv and save_html methods Non-ASCII character bug fixed
  • Mixed type input vectors bug fixed
  • CONTRIBUTING.md updated
  • Example-3 updated
  • README.md modified
  • Document modified
  • CI attribute renamed to CI95
  • kappa_se_calc function renamed to kappa_SE_calc
  • se_calc function modified and renamed to SE_calc
  • CI/SE functions moved to pycm_ci.py
  • Minor bug in save_html method fixed

 Source Code (.Zip) (1 MB)

 Source Code (.tar.gz) (1 MB)

 Version 2.4

  • Tversky index (TI) added
  • Area under the PR curve (AUPR) added
  • FUNDING.yml added
  • AUC_calc function modified
  • Document modified
  • summary parameter added to save and stat methods
  • sample_weight bug in numpy array format fixed
  • Inputs manipulation bug fixed
  • Test system modified
  • Warning system modified
  • alt_link parameter added to save_html method and online_help function
  • Compare class tests moved to compare_test.py
  • Warning tests moved to warning_test.py

 Source Code (.Zip) (894 KB)

 Source Code (.tar.gz) (869 KB)

 Version 2.3

  • Adjusted F-score (AGF) added
  • Overlap coefficient (OC) added
  • Otsuka-Ochiai coefficient (OOC) added
  • save_stat and save_vector parameters added to save_obj method
  • Document modified
  • README.md modified
  • Parameters recommendation for imbalance dataset modified
  • Minor bug in Compare class fixed
  • pycm_help function modified
  • Benchmarks color modified

 Source Code (.Zip) (882 KB)

 Source Code (.tar.gz) (861 KB)

 Version 2.2

  • Negative likelihood ratio interpretation (NLRI) added
  • Cramer's benchmark (SOA5) added
  • Matthews correlation coefficient interpretation (MCCI) added
  • Matthews's benchmark (SOA6) added
  • F1 macro added
  • F1 micro added
  • Accuracy macro added
  • Compare class score calculation modified
  • Parameters recommendation for multi-class dataset modified
  • Parameters recommendation for imbalance dataset modified
  • README.md modified
  • Document modified
  • Logo updated

 Source Code (.Zip) (871 KB)

 Source Code (.tar.gz) (849 KB)

 Version 2.1

  • Adjusted geometric mean (AGM) added
  • Yule's Q (Q) added
  • Compare class and parameters recommendation system block diagrams added
  • Document links bug fixed
  • Document modified

 Source Code (.Zip) (790 KB)

 Source Code (.tar.gz) (768 KB)

 Version 2.0

  • G-Mean (GM) added
  • Index of balanced accuracy (IBA) added
  • Optimized precision (OP) added
  • Pearson's C (C) added
  • Compare class added
  • Parameters recommendation warning added
  • ConfusionMatrix equal method added
  • Document modified
  • stat_print function bug fixed
  • table_print function bug fixed
  • Beta parameter renamed to beta
  • Parameters recommendation for imbalance dataset modified
  • normalize parameter added to save_html method
  • pycm_func.py splitted
  • filter and check functions moved to pycm_util.py
  • RACC_calc and RACCU_calc functions exception handler modified
  • Docstrings modified

 Source Code (.Zip) (731 KB)

 Source Code (.tar.gz) (709 KB)

 Version 1.9

  • Automatic/Manual (AM) added
  • Bray-Curtis dissimilarity (BCD) added
  • CODE_OF_CONDUCT.md added
  • ISSUE_TEMPLATE.md added
  • PULL_REQUEST_TEMPLATE.md added
  • CONTRIBUTING.md added
  • X11 color names support for save_html method added
  • Parameters recommendation system added
  • Warning message for high dimension matrix print added
  • Interactive notebooks section (binder) added
  • save_matrix and normalize arguments added to save_csv method
  • README.md modified
  • Document modified
  • __init__ optimized
  • Document and examples output files moved to different folders
  • Test system modified
  • relabel method bug fixed

 Source Code (.Zip) (710 KB)

 Source Code (.tar.gz) (689 KB)

 Version 1.8

  • Lift Score (LS) added
  • color argument added to save_html method
  • version_check.py added
  • Error messages modified
  • Document modified
  • Website changed to http://www.pycm.ir
  • Interpretation functions moved to pycm_interpret.py
  • Utility functions moved to pycm_util.py
  • Unnecessary else and elif removed
  • == changed to is

 Source Code (.Zip) (675 KB)

 Source Code (.tar.gz) (663 KB)

 Version 1.7

  • Gini Index (GI) added
  • Example-7 added
  • pycm_profile.py added
  • class_name argument added to stat,save_stat,save_csv and save_html methods
  • overall_param and class_param arguments empty list bug fixed
  • matrix_params_calc, matrix_params_from_table and vector_filter functions optimized
  • overall_MCC_calc, CEN_misclassification_calc and convex_combination functions optimized
  • Document modified

 Source Code (.Zip) (671 KB)

 Source Code (.tar.gz) (660 KB)

 Version 1.6

  • AUC Value Interpretation (AUCI) added
  • Example-6 added
  • Anaconda cloud package added
  • overall_param and class_param arguments added to stat,save_stat and save_html methods
  • class_param argument added to save_csv method
  • _ removed from overall statistics names
  • README.md modified
  • Document modified

 Source Code (.Zip) (608 KB)

 Source Code (.tar.gz) (597 KB)

 Version 1.5

  • Relative Classifier Information (RCI) added
  • Discriminator Power (DP) added
  • Youden's Index (Y) added
  • Discriminant Power Interpretation (DPI) added
  • Positive Likelihood Ratio Interpretation (PLRI) added
  • __len__ method added
  • relabel method added
  • __class_stat_init__ function added
  • __overall_stat_init__ function added
  • matrix attribute added
  • normalized_matrix attribute added
  • normalized_table attribute added
  • Python 3.7 added to .travis.yml & appveyor.yml
  • README.md modified
  • Document modified
  • LR+ renamed to PLR
  • LR- renamed to NLR
  • normalized_matrix method renamed to print_normalized_matrix
  • matrix method renamed to print_matrix
  • entropy_calc fixed
  • cross_entropy_calc fixed
  • conditional_entropy_calc fixed
  • print_table bug for large numbers fixed
  • JSON key bug in save_obj fixed
  • transpose bug in save_obj

 Source Code (.Zip) (604 KB)

 Source Code (.tar.gz) (593 KB)

 Version 1.4

  • Area Under Curve added
  • AUNU added
  • AUNP added
  • Class Balance Accuracy added
  • Global Performance Index (RR) added
  • Overall MCC added
  • Distance index (dInd) added
  • Similarity index (sInd) added
  • one_vs_all added
  • dev-requirements.txt added
  • README.md modified
  • Document modified
  • save_stat modified
  • requirements.txt modified

 Source Code (.Zip) (597 KB)

 Source Code (.tar.gz) (586 KB)

 Version 1.3

  • Confusion Entropy added
  • Overall Confusion Entropy added
  • Modified Confusion Entropy added
  • Overall Modified Confusion Entropy added
  • Information Score added
  • README.md modified

 Source Code (.Zip) (588 KB)

 Source Code (.tar.gz) (577 KB)

 Version 1.2

  • NIR (No Information Rate) added
  • P-Value added
  • sample_weight added
  • transpose added
  • README.md modified
  • Key error in some parameters fixed
  • OSX env added to .travis.yml

 Source Code (.Zip) (584 KB)

 Source Code (.tar.gz) (574 KB)

 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

 Source Code (.Zip) (503 KB)

 Source Code (.tar.gz) (495 KB)

 Version 1.0

  • Hamming loss added
  • README.md modified

 Source Code (.Zip) (500 KB)

 Source Code (.tar.gz) (493 KB)

 Version 0.9.5

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

 Source Code (.Zip) (500 KB)

 Source Code (.tar.gz) (493 KB)

 Version 0.9

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

 Source Code (.Zip) (361 KB)

 Source Code (.tar.gz) (353 KB)

 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

 Source Code (.Zip) (358 KB)

 Source Code (.tar.gz) (351 KB)

 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

 Source Code (.Zip) (237 KB)

 Source Code (.tar.gz) (227 KB)

 Version 0.8.1

  • 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
  • Direct ConfusionMatrix added
  • pycmVectorError class added
  • pycmMatrixError class added
  • Support numpy arrays
  • pycmError class removed

 Source Code (.Zip) (111 KB)

 Source Code (.tar.gz) (105 KB)

 Version 0.7

  • 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
  • Parameters description links in HTML report modified
  • Confusion matrix color in HTML report modified

 Source Code (.Zip) (60 KB)

 Source Code (.tar.gz) (56 KB)

 Version 0.6

  • CSV Report added (save_csv)
  • Changelog added
  • Confusion matrix color in HTML report changed
  • Parameters description links in HTML report added

 Source Code (.Zip) (56 KB)

 Source Code (.tar.gz) (52 KB)

 Version 0.5

  • New parameters added
    • Scott's pi
    • Gwet's AC1
    • Bennett S score
  • HTML Report Added (save_html)

 Source Code (.Zip) (50 KB)

 Source Code (.tar.gz) (48 KB)

 Version 0.4

  • New parameters added
    • TPR Micro/Macro
    • PPV Micro/Macro
    • RACC Overall
  • Normalized matrix bugs fixed
  • Zero class bugs fixed
  • Fleiss & Altman benchmarks added
  • Output file(.pycm) method added

 Source Code (.Zip) (47 KB)

 Source Code (.tar.gz) (45 KB)

 Version 0.3

  • New parameters added
    • Kappa
    • Random Accuracy
    • Strength of Agreement
  • Overall statistics added
  • Round bug fixed

 Source Code (.Zip) (45 KB)

 Source Code (.tar.gz) (43 KB)

 Version 0.2

  • New parameters added
    • Population
    • Condition positive
    • Test outcome positive
    • Test outcome negative
    • Prevalence
    • G-measure
  • matrix & normalized_matrix method added
  • params method added

 Source Code (.Zip) (42 KB)

 Source Code (.tar.gz) (40 KB)

 Version 0.1

  • First Release
  • Supported Class Statistics
    • ACC
    • BM
    • DOR
    • F1-Score
    • FDR
    • FNR
    • FOR
    • FPR
    • LR+
    • LR-
    • MCC
    • MK
    • NPV
    • PPV
    • TNR
    • TPR

 Source Code (.Zip) (40 KB)

 Source Code (.tar.gz) (38 KB)