permetrics
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
파일 탐색기
최종 버전 다운로드 (.zip)- clusterCrit.pdf
- cmatrix.jpg
- logo.png
- logo2.png
- logo3.png
- metric_names.xlsx
- R-R2-Rsquared.docx
- rr2.png
- draft-pdf.yml
- publish-package.yml
- class_score_1.png
- CLS_CEL.png
- CLS_KLDL.png
- DI.png
- general_table.xlsx
- KGE.docx
- table_of_metrics.xlsx
- AS.rst
- BSL.rst
- CEL.rst
- CKS.rst
- F1S.rst
- F2S.rst
- FBS.rst
- GINI.rst
- GMS.rst
- HGL.rst
- HML.rst
- JSI.rst
- KLDL.rst
- LS.rst
- MCC.rst
- NPV.rst
- PS.rst
- ROC_AUC.rst
- RS.rst
- SS.rst
- ARS.rst
- BHI.rst
- BI.rst
- BRI.rst
- CDS.rst
- CHI.rst
- CS.rst
- DBCVI.rst
- DBI.rst
- DHI.rst
- DI.rst
- DRI.rst
- EnS.rst
- FMS.rst
- FS.rst
- GAS.rst
- GPS.rst
- HGS.rst
- HI.rst
- HS.rst
- JS.rst
- KDI.rst
- KS.rst
- LDRI.rst
- LSRI.rst
- MIS.rst
- MNS.rst
- MSEI.rst
- NMIS.rst
- PhS.rst
- PrS.rst
- PuS.rst
- RaS.rst
- ReS.rst
- RRS.rst
- RSI.rst
- RTS.rst
- SI.rst
- SS12S.rst
- SSEI.rst
- TauS.rst
- VMS.rst
- XBI.rst
- classification.rst
- clustering.rst
- regression.rst
- A10.rst
- A20.rst
- A30.rst
- AE.rst
- AR.rst
- AR2.rst
- CE.rst
- CI.rst
- COR.rst
- COV.rst
- CRM.rst
- DRV.rst
- EC.rst
- EVS.rst
- GINI.rst
- JSD.rst
- KGE.rst
- KLD.rst
- MAAPE.rst
- MAE.rst
- MAPE.rst
- MASE.rst
- MBE.rst
- ME.rst
- MedAE.rst
- MPE.rst
- MRE.rst
- MSE.rst
- MSLE.rst
- NNSE.rst
- NRMSE.rst
- NSE.rst
- OI.rst
- PCD.rst
- R.rst
- R2.rst
- R2S.rst
- RAE.rst
- RE.rst
- RMSE.rst
- RRSE.rst
- RSE.rst
- SE.rst
- SLE.rst
- SMAPE.rst
- VAF.rst
- WI.rst
- classification.rst
- clustering.rst
- permetrics.rst
- permetrics.utils.rst
- quick_start.rst
- regression.rst
- support.rst
- version.rst
- conf.py
- index.rst
- mybibfile.bib
- make.bat
- Makefile
- requirements.txt
- 00_all_metrics.py
- 01_functional_style_metric.py
- 02_oop_style_metric.py
- 03_multiple_metrics.py
- 04_confusion_matrix.py
- 05_check_ranges_2labels.py
- 06_check_ranges_4labels.py
- 07_get_supported_metrics.py
- 08_roc_auc_score.py
- 09_crossentropy_loss.py
- 10_hinge_loss.py
- 11_kld_loss.py
- 12_brier_score_loss.py
- __init__.py
- Classification.ipynb
- run_sample_class.py
- run_sample_class02.py
- 00_all_metrics.py
- 01_internal_metrics.py
- 02_external_metrics.py
- 03_exam_cases_indexes.py
- 04_exam_cases_scores.py
- 05_get_supported_metrics.py
- 06_speed_up_ARS.py
- 06_speed_up_BHI.py
- 06_speed_up_BI.py
- 06_speed_up_BRI.py
- 06_speed_up_CHI.py
- 06_speed_up_CS.py
- 06_speed_up_DBCVI.py
- 06_speed_up_DBI.py
- 06_speed_up_DHI.py
- 06_speed_up_DI.py
- 06_speed_up_DRI.py
- 06_speed_up_ES.py
- 06_speed_up_FMeasureS.py
- 06_speed_up_FMS.py
- 06_speed_up_HI.py
- 06_speed_up_HS.py
- 06_speed_up_KDI.py
- 06_speed_up_LDRI.py
- 06_speed_up_MIS.py
- 06_speed_up_NMIS.py
- 06_speed_up_others.py
- 06_speed_up_PrS.py
- 06_speed_up_PuS.py
- 06_speed_up_RaS.py
- 06_speed_up_ReS.py
- 06_speed_up_RSI.py
- 06_speed_up_SI.py
- 06_speed_up_SSEI.py
- 06_speed_up_TS-GAS-GPS.py
- 06_speed_up_VMS.py
- 06_speed_up_XBI.py
- 07_speed_up_BGSS.py
- 07_speed_up_CM.py
- 07_speed_up_ND_Splus_Sminus_T.py
- 08_exam.py
- 09_check_dbcvi.py
- __init__.py
- 00_all_metrics.py
- 01_functional_style_metric.py
- 02_oop_style_metric.py
- 03_multiple_metrics.py
- 04_multiple_outputs_metrics.py
- 05_get_supported_metrics.py
- __init__.py
- run_sample.py
- __init__.py
- paper.bib
- paper.md
- paper.pdf
- __init__.py
- classifier_util.py
- cluster_util.py
- data_util.py
- encoder.py
- regressor_util.py
- __init__.py
- classification.py
- clustering.py
- evaluator.py
- regression.py
- test_sklearn_classification.py
- test_sklearn_clustering.py
- test_sklearn_regression.py
- test_classification.py
- test_clustering.py
- test_regression.py
- __init__.py
- .flake8
- .gitignore
- .readthedocs.yaml
- ChangeLog.md
- CITATION.cff
- CODE_OF_CONDUCT.md
- CONTRIBUTING.md
- LICENSE
- MANIFEST.in
- README.md
- setup.py
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/thieu1995/permetrics
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd permetrics
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
// repository documentation
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