Welcome to Permetrics’s!

permetrics's documentation!

• Introduction
• Setup
• Examples
• Important links

Models Document

• Regression Metrics
  • EVS - Explained Variance Score
  • ME - Max Error
  • MAE - Mean Absolute Error
  • MSE - Mean Squared Error
  • RMSE - Root Mean Square Error
  • MSLE - Mean Squared Logarithmic Error
  • MedAE - Median Absolute Error
  • MRE - Mean Relative Error
  • MAPE - Mean Absolute Percentage Error
  • SMAPE - Symmetric Mean Absolute Percentage Error
  • MAAPE - Mean Arctangent Absolute Percentage Error
  • MASE - Mean Absolute Scaled Error
  • NSE - Nash-Sutcliffe Efficiency
  • NNSE - Normalized NSE
  • WI - Willmott Index
  • R - Pearson’s Correlation Index
  • R2 - Coefficient of Determination
  • CI - Confidence Index
  • R2s - (Pearson’s Correlation Index)**2
  • DRV - Deviation of Runoff Volume
  • KGE - Kling-Gupta Efficiency
  • GINI - GINI Coefficient
  • PCD - Prediction of Change in Direction
  • CE - Cross Entropy
  • KLD - Kullback-Leibler Divergence
  • JSD - Jensen-Shannon Divergence
  • VAF - Variance Accounted For
  • RAE - Relative Absolute Error
  • A10 - A10 index
  • A20 - A20 index
  • NRMSE - Normalized Root Mean Square Error
  • RSE - Residual Standard Error
  • RE - Relative Error
  • AE - Absolute Error
  • SE - Squared Error
  • SLE - Squared Log Error

Models API:

• permetrics
  • permetrics.classification
  • permetrics.evaluator
  • permetrics.regression

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Indices and tables

• Index

• Module Index

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