Version 3.5
- Anaconda workflow added
- Custom iterating setting added
- Custom casting setting added
plot
method updatedclass_statistics
function modifiedoverall_statistics
function modifiedBCD_calc
function modifiedCONTRIBUTING.md
updatedCODE_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 addedJ (Jaccard index)
section inDocument.ipynb
updatedsave_obj
method updatedPython 3.10
added totest.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 addedis_imbalanced
parameter added to ConfusionMatrix__init__
methodclass_benchmark_weight
andoverall_benchmark_weight
parameters added to Compare__init__
methodstatistic_recommend
function modified- Compare
weight
parameter renamed toclass_weight
- Document modified
- License updated
AUTHORS.md
updatedREADME.md
modified- Block diagrams updated
Source Code (.Zip) (865 KB)
Source Code (.tar.gz) (830 KB)
Version 3.2
classes_filter
function addedclasses
parameter added tomatrix_params_calc
functionclasses
parameter added to__obj_vector_handler__
functionclasses
parameter added to ConfusionMatrix__init__
methodname
parameter removed fromhtml_init
functionshortener
parameter added tohtml_table
functionshortener
parameter added tosave_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
addedsensitivity_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
addedaxes_gen
function addedadd_number_label
function addedplot
method addedcombine
method addedmatrix_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
addedto_array
method added__copy__
method addedcopy
method addedaverage
method refactored
Source Code (.Zip) (1 MB)
Source Code (.tar.gz) (1 MB)
Version 2.8
label_map
attribute addedpositions
attribute addedposition
method added- Krippendorff's Alpha added
- Aickin's Alpha added
weighted_alpha
method added- Single class bug fixed
CLASS_NUMBER_ERROR
error type changed topycmMatrixError
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 addedweighted_average
method addedweighted_kappa
method addedpycmAverageError
class added- Bangdiwala's B added
- MATLAB examples added
- Github action added
- Document modified
README.md
modifiedrelabel
method bug fixedsparse_table_print
function bug fixedmatrix_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 addedcomplement
function addedsparse_matrix
attribute addedsparse_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 addedheader
parameter added tosave_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 modifiednormalized_table_calc
function modifiedsetup.py
modified- summary mode updated
- Dockerfile updated
Python 3.8
added to.travis.yaml
andappveyor.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
addedautopep8.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
updatedsave_stat
,save_csv
andsave_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 toCI95
kappa_se_calc
function renamed tokappa_SE_calc
se_calc
function modified and renamed toSE_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
addedAUC_calc
function modified- Document modified
summary
parameter added to save and stat methodssample_weight
bug innumpy
array format fixed- Inputs manipulation bug fixed
- Test system modified
- Warning system modified
alt_link
parameter added tosave_html
method andonline_help
functionCompare
class tests moved tocompare_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
andsave_vector
parameters added tosave_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 fixedtable_print
function bug fixedBeta
parameter renamed tobeta
- Parameters recommendation for imbalance dataset modified
normalize
parameter added tosave_html
methodpycm_func.py
splitted- filter and check functions moved to
pycm_util.py
RACC_calc
andRACCU_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
addedISSUE_TEMPLATE.md
addedPULL_REQUEST_TEMPLATE.md
addedCONTRIBUTING.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
andnormalize
arguments added tosave_csv
methodREADME.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 tosave_html
methodversion_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 tois
Source Code (.Zip) (675 KB)
Source Code (.tar.gz) (663 KB)
Version 1.7
- Gini Index (GI) added
- Example-7 added
pycm_profile.py
addedclass_name
argument added tostat
,save_stat
,save_csv
andsave_html
methodsoverall_param
andclass_param
arguments empty list bug fixedmatrix_params_calc
,matrix_params_from_table
andvector_filter
functions optimizedoverall_MCC_calc
,CEN_misclassification_calc
andconvex_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
andclass_param
arguments added tostat
,save_stat
andsave_html
methodsclass_param
argument added tosave_csv
method_
removed from overall statistics namesREADME.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 addedrelabel
method added__class_stat_init__
function added__overall_stat_init__
function addedmatrix
attribute addednormalized_matrix
attribute addednormalized_table
attribute addedPython 3.7
added to.travis.yml
&appveyor.yml
README.md
modified- Document modified
LR+
renamed toPLR
LR-
renamed toNLR
normalized_matrix
method renamed to print_normalized_matrixmatrix method
renamed to print_matrixentropy_calc
fixedcross_entropy_calc
fixedconditional_entropy_calc
fixedprint_table
bug for large numbers fixed- JSON key bug in
save_obj
fixed transpose
bug insave_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
addeddev-requirements.txt
addedREADME.md
modified- Document modified
save_stat
modifiedrequirements.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
addedtranspose
addedREADME.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 addedREADME.md
modifiedhtml_table
function modifiedtable_print
function modifiednormalized_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
modifiedsetup.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 addedpycmMatrixError
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)