Permetrics

Latest version: v2.0.0

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1.3.3

Update

Update ClassificationMetric:
+ Rename confusion_matrix() in util file
+ Support binary and multi-class classification with one-hot-encoder format
+ Add Cohen's Kappa score
+ Add Jaccard Similarity Index (Jaccard similarity coefficient)
+ Add G-mean score
+ Add GINI index
+ Add ROC-AUC metric


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1.3.2

Update

Add regression metrics:
+ covariance (COV): https://corporatefinanceinstitute.com/resources/data-science/covariance/
+ correlation (COR): https://corporatefinanceinstitute.com/resources/data-science/covariance/
+ efficiency coefficient (EC): https://doi.org/10.1016/j.solener.2019.01.037
+ overall index (OI): https://doi.org/10.1016/j.solener.2019.01.037
+ coefficient of residual mass (CRM): https://doi.org/10.1016/j.solener.2019.01.037


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1.3.1

Update

Add classification metrics:
+ Fix bug in MCC metric
+ Fix bug exit() program
+ Update documents
+ Update examples

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1.3.0

Update

Add classification metrics:
+ Add Precision Score (PS)
+ Add Negative Predictive Value (NPV)
+ Add Recall Score (RS)
+ Add Accuracy Score (AS)
+ Add F1 Score (F1S)
+ Add F2 Score (F2S)
+ Add F Beta Score (FBS)
+ Add Specificity Score (SS)
+ Add Matthews Correlation Coefficient (MCC)
+ Add Hamming Loss (HL)
+ Add Lift Score (LS)

+ Update reference documents
+ Update examples

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1.2.2

Update

+ Add Absolute R metric (AR)
+ Add A30 metric (A30)
+ Add Mean Bias Error (MBE)
+ Add Mean Percentage Error (MPE)
+ Add Adjusted R2 (AR2)
+ Update reference documents
+ Update examples

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1.2.1

Update

+ Fix bugs copy original data from Evaluator class
+ Fix bugs of some methods in Regression class
+ Add utils module
+ Update reference documents
+ Update examples

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