h2o.atc: Retrieve Average Treatment Effect on the Control

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve Average Treatment Effect on the Control

Description

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

Usage

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

Arguments

object	An H2OBinomialUpliftMetrics or
train	Retrieve the training ATC value
valid	Retrieve the validation ATC 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.atc(perf)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.