permetrics
PerMetrics: A Framework of Performance Metrics for Machine Learning Models
Ecosystem
pypi.org
pypi.org
Latest Release
4 months ago
2.1.0
4 months ago
Versions
21
21
Downloads
7,647 last month
7,647 last month
Dependent Packages
8
8
Dependent Repos
1
1
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Readme
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Links
| Registry | pypi.org |
| Source | Repository |
| Docs | Documentation |
| JSON API | View JSON |
| CodeMeta | codemeta.json |
Package Details
| PURL |
pkg:pypi/permetrics
spec |
| License | GPL-3.0 |
| First Release | over 6 years ago |
| Last Synced | about 8 hours ago |
Keywords
regression classification clustering metrics performance metrics rmse mae mape nse nash-sutcliffe-efficiency willmott-index precision accuracy recall f1 score pearson correlation coefficient r2 Kling-Gupta Efficiency Gini Coefficient Matthews Correlation Coefficient Cohen's Kappa score Jaccard score ROC-AUC mutual information rand score Davies Bouldin score completeness score Silhouette Coefficient score V-measure score Folkes Mallows score Czekanowski-Dice score Huber Gamma score Kulczynski score McNemar score Phi score Rogers-Tanimoto score Russel-Rao score Sokal-Sneath score confusion matrix pearson correlation coefficient (PCC) spearman correlation coefficient (SCC) Performance analysis classification-report clustering-evaluation coefficient-of-determination deviation-of-runoff-volume evaluation-metrics kling-gupta-efficiency performance-metrics regression-methods relative-error symmetric-mean-absolute-percentage
regression classification clustering metrics performance metrics rmse mae mape nse nash-sutcliffe-efficiency willmott-index precision accuracy recall f1 score pearson correlation coefficient r2 Kling-Gupta Efficiency Gini Coefficient Matthews Correlation Coefficient Cohen's Kappa score Jaccard score ROC-AUC mutual information rand score Davies Bouldin score completeness score Silhouette Coefficient score V-measure score Folkes Mallows score Czekanowski-Dice score Huber Gamma score Kulczynski score McNemar score Phi score Rogers-Tanimoto score Russel-Rao score Sokal-Sneath score confusion matrix pearson correlation coefficient (PCC) spearman correlation coefficient (SCC) Performance analysis classification-report clustering-evaluation coefficient-of-determination deviation-of-runoff-volume evaluation-metrics kling-gupta-efficiency performance-metrics regression-methods relative-error symmetric-mean-absolute-percentage
Repository
| Stars | 92 on GitHub |
| Forks | 24 on GitHub |
| Commits | 463 |
| Committers | 5 |
| Avg per Author | 92.6 |
| DDS | 0.063 |
Rankings on pypi.org
Overall
Top 9.9%
Downloads
Top 6.5%
Dependent packages
Top 1.4%