h2o (version 3.44.0.3)

h2o.att: Retrieve Average Treatment Effect on the Treated

Description

Retrieves ATE from an H2OBinomialUpliftMetrics. If "train" and "valid" parameters are FALSE (default), then the training ATT is returned. If more than one parameter is set to TRUE, then a named vector of ATT values are returned, where the names are "train", "valid".

Usage

h2o.att(object, train = FALSE, valid = FALSE)

Arguments

object

An H2OBinomialUpliftMetrics or

train

Retrieve the training ATT value

valid

Retrieve the validation ATT value

Examples

if (FALSE) {
library(h2o)
h2o.init()
f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/uplift/criteo_uplift_13k.csv"
train <- h2o.importFile(f)
train$treatment <- as.factor(train$treatment)
train$conversion <- as.factor(train$conversion)

model <- h2o.upliftRandomForest(training_frame=train, x=sprintf("f%s",seq(0:10)), y="conversion",
                                ntrees=10, max_depth=5, treatment_column="treatment",
                                auuc_type="AUTO")
perf <- h2o.performance(model, train=TRUE) 
h2o.att(perf)
}