filtro (version 0.2.0)

fill_safe_values: Fill safe values (plural)

Description

Wraps bind_scores(), and fills in safe values for missing scores, with an option to apply transformation. This is a plural scoring method. See fill_safe_value() for singular scoring method.

Value

A tibble of scores results.

Arguments

x

A list.

...

Further arguments passed to or from other methods.

Details

If transform = TRUE, by default, all score objects use the identity transformation, except the correlation score object, which uses the absolute transformation.

Examples

library(dplyr)

ames_subset <- modeldata::ames |>
  dplyr::select(
    Sale_Price,
    MS_SubClass,
    MS_Zoning,
    Lot_Frontage,
    Lot_Area,
    Street
  )
ames_subset <- ames_subset |>
  dplyr::mutate(Sale_Price = log10(Sale_Price))

# ANOVA p-value
ames_aov_pval_res <-
  score_aov_pval |>
  fit(Sale_Price ~ ., data = ames_subset)
ames_aov_pval_res@results

# Pearson correlation
ames_cor_pearson_res <-
  score_cor_pearson |>
  fit(Sale_Price ~ ., data = ames_subset)
ames_cor_pearson_res@results

# Forest importance
set.seed(42)
ames_imp_rf_reg_res <-
  score_imp_rf |>
  fit(Sale_Price ~ ., data = ames_subset)
ames_imp_rf_reg_res@results

# Information gain
ames_info_gain_reg_res <-
  score_info_gain |>
  fit(Sale_Price ~ ., data = ames_subset)
ames_info_gain_reg_res@results

# Create a list
class_score_list <- list(
  ames_aov_pval_res,
  ames_cor_pearson_res,
  ames_imp_rf_reg_res,
  ames_info_gain_reg_res
)

# Fill safe values
class_score_list |> fill_safe_values()

# Fill safe value, option to transform
class_score_list |> fill_safe_values(transform = TRUE)