h2o.ate {h2o}

Retrieve Average Treatment Effect

Description

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

Usage

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

Arguments

object

An H2OBinomialUpliftMetrics or

train

Retrieve the training ATE value

valid

Retrieve the validation ATE value

Examples

## Not run: 
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.ate(perf)

## End(Not run)