Description Usage Arguments Examples
View source: R/bestNormalize2.R
bestNormalize_fit
1 |
dt |
data.table object |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | library(bestNormalize)
library(data.table)
library(rAutoFE)
library(rAutoFS)
library(h2o)
churn <- as.data.table(churn)
splits <- rAutoFE::splitFrame(dt=churn, ratio = c(0.5, 0.3), seed = 1234)
train <- splits[[1]]
valid <- splits[[2]]
test <- splits[[3]]
h2o.init()
data_hex <- as.h2o(rbind(train, valid))
y = "Churn."
x = colnames(data_hex)[colnames(data_hex)!=y]
ml <- autoFS(data_hex, x, y, num_of_model=5, num_of_vi=10)
fit <- bestNormalize_fit(dt=train, vi=ml$top_vi)
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