Nothing
### Preprocessing data for shiny app:
{
require(cheem)
require(shapviz)
require(treeshap)
require(randomForest)
require(xgboost)
require(tictoc)
require(beepr)
set.seed(135) ## not sure which models will be impacted, but plausibly helps replication
#s <- function(sec = .01)Sys.sleep(sec) ## Not in use
tic("Preprocess all")
fp <- "./inst/preprocessing/"
wd <- getwd()
if(substr(wd, nchar(wd) - 6, nchar(wd)) != "R/cheem")
warning("work directory is not set to cheem package root!")
if(F)
dir("./inst/shiny_apps/cheem/preprocessing")
## Recover the classification examples
default_rf <- function(
x, y, verbose = getOption("verbose"),
hp_ntree = 125,
hp_mtry = ifelse(is_discrete(y), sqrt(ncol(x)), ncol(x) / 3),
hp_nodesize = max(ifelse(is_discrete(y), 1, 5), nrow(x) / 500),
...
){
if(verbose) tictoc::tic("default_rf_treeshap")
.fit <- randomForest::randomForest(
x, y, mtry = hp_mtry, nodesize = hp_nodesize, ntree = hp_ntree, ...)
if(verbose) tictoc::toc()
.fit
}
## Classification:
source(paste0(fp, "preprocess_toy_classification.r"))
source(paste0(fp, "preprocess_chocolates.r"))
source(paste0(fp, "preprocess_penguins.r"))
## Regression:
source(paste0(fp, "preprocess_toy_quad_regression.r"))
source(paste0(fp, "preprocess_toy_trig_regression.r"))
source(paste0(fp, "preprocess_toy_mixture_regression.r"))
source(paste0(fp, "preprocess_ames2018.r"))
tic("preprocess_fifa")
source(paste0(fp, "preprocess_fifa.r")) ## Longest by far, 4-5 min
toc()
if(F){ ## Open individual files.
## Classification
file.edit(paste0(fp, "preprocess_toy_classification.r"))
file.edit(paste0(fp, "preprocess_penguins.r"))
file.edit(paste0(fp, "preprocess_toy_classification.r"))
## Regression
file.edit(paste0(fp, "preprocess_fifa.r"))
file.edit(paste0(fp, "preprocess_ames2018.r"))
file.edit(paste0(fp, "preprocess_toy_quad_regression.r"))
file.edit(paste0(fp, "preprocess_toy_trig_regression.r"))
file.edit(paste0(fp, "preprocess_chocolates.r"))
}
toc()
beep(4)
}
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