Regression Metrics

Regression Metrics API Reference

Functions

ChemometricsTools.FNorm — Method.
FNorm( X )

Calculates the Froebinius norm of matrix X.

source
ChemometricsTools.MAE — Method.
MAE( y, yhat )

Calculates Mean Average Error from vectors Y and YHat

source
ChemometricsTools.MAPE — Method.
MAPE( y, yhat )

Calculates Mean Average Percent Error from vectors Y and YHat

source
ChemometricsTools.ME — Method.
ME( y, yhat )

Calculates Mean Error from vectors Y and YHat.

source
ChemometricsTools.MSE — Method.
MSE( y, yhat )

Calculates Mean Squared Error from vectors Y and YHat

source
ChemometricsTools.PearsonCorrelationCoefficient — Method.
PearsonCorrelationCoefficient( y, yhat )

Calculates The Pearson Correlation Coefficient from vectors Y and YHat

source
ChemometricsTools.PercentRMSE — Method.
PercentRMSE( y, yhat; aspercent = true )

Calculates Percent Root Mean Squared Error from vectors Y and YHat

source
ChemometricsTools.RMSE — Method.
RMSE( y, yhat )

Calculates Root Mean Squared Error from vectors Y and YHat

source
ChemometricsTools.RSquare — Method.
RSquare( y, yhat )

Calculates R^2 from Y and YHat

source
ChemometricsTools.SSE — Method.
SSE( y, yhat )

Calculates Sum of Squared Errors from vectors Y and YHat

source
ChemometricsTools.SSReg — Method.
SSReg( y, yhat )

Calculates Sum of Squared Deviations due to Regression from vectors Y and YHat

source
ChemometricsTools.SSRes — Method.
SSRes( y, yhat )

Calculates Sum of Squared Residuals from vectors Y and YHat

source
ChemometricsTools.SSTotal — Method.
SSTotal( y, yhat )

Calculates Total Sum of Squared Deviations from vectors Y and YHat

source