View source: R/misc_loss_functions.R

loss_yardstick | R Documentation |

The yardstick package provides many auxiliary functions for calculating the predictive performance of the model. However, they have an interface that is consistent with the tidyverse philosophy. The loss_yardstick function adapts loss functions from the yardstick package to functions understood by DALEX. Type compatibility for y-values and for predictions must be guaranteed by the user.

loss_yardstick(loss, reverse = FALSE, reference = 1)

`loss` |
loss function from the yardstick package |

`reverse` |
shall the metric be reversed? for loss metrics lower values are better. |

`reference` |
if the metric is reverse then it is calculated as |

loss function that can be used in the model_parts function

titanic_glm_model <- glm(survived~., data = titanic_imputed, family = "binomial") explainer_glm <- DALEX::explain(titanic_glm_model, data = titanic_imputed[,-8], y = factor(titanic_imputed$survived)) # See the 'How to use DALEX with the yardstick package' vignette # which explains this model with measures implemented in the 'yardstick' package

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