Package planner.utils.evaluators.regrmetrics

package planner.utils.evaluators.regrmetrics
  • Classes
    Class
    Description
    MAE
    MAE is a class implementing the Mean Absolute Error over the RegressionMetric abstract super class.
    MAPE
    MAPE is a class implementing the Mean Absolute Percentage Error over the RegressionMetric abstract super class.
    MRAE
    MRAE is a class implementing the Mean Relative Absolute Error over the RegressionMetric abstract super class.
    MSE
    MSE is a class implementing the Mean Squared Error over the RegressionMetric abstract super class.
    MSPE
    MSPE is a class implementing the Mean Squared Percentage Error over the RegressionMetric abstract super class.
    RAE
    RAE is a class implementing the Relative Absolute Error over the RegressionMetric abstract super class.
    RegressionMetric
    RegressionMetric is an abstract class for representing the regression metrics used when training with datasets, can be also considerated as evaluators of the genotype of the individuals.
    RMSE
    RMSE is a class implementing the Root Mean Squared Error over the RegressionMetric abstract super class.
    RMSLE
    RMSLE is a class implementing the Root Mean Squared Logarithmic Error over the RegressionMetric abstract super class.
    RMSPE
    RMSPE is a class implementing the Root Mean Squared Percentage Error over the RegressionMetric abstract super class.
    SSE
    SSE is a class implementing the Sum of Squared Errors over the RegressionMetric abstract super class.