preproc_new_data <- function(use_case = 'team_games',
preproc_objects, new_data) {
if (use_case == 'team_games') {
output_list <- list()
# setup some ranges of max and min games for models to be used
ranges <- names(preproc_objects)
split_ranges <- strsplit(ranges, '_')
names(split_ranges) <- ranges
# loop through the preproc objects and preproc the new_data accordingly
for (i in names(preproc_objects)) {
preproc_obj <- preproc_objects[[i]]
game_range <- split_ranges[[i]]
min_games <- as.numeric(game_range[[1]])
max_games <- as.numeric(game_range[[2]])
data_to_preproc <- new_data %>%
dplyr::filter(season_type_game_index >= min_games,
season_type_game_index <= max_games,
opp_season_type_game_index >= min_games,
opp_season_type_game_index <= max_games)
preprocessed_new_data <- recipes::bake(preproc_obj$recipe, data_to_preproc, recipes::all_predictors())
id_cols <- data_to_preproc %>% dplyr::select(dplyr::ends_with('id'))
output_list[[i]] <- dplyr::bind_cols(id_cols, preprocessed_new_data)
}
return(output_list)
}
}
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