h2o (version 3.40.0.4)

h2o.thresholds_and_metric_scores: Retrieve the thresholds and metric scores table

Description

Retrieves the thresholds and metric scores table from an H2OBinomialUpliftMetrics. The table contains indices, thresholds, all cumulative uplift values and cumulative number of observations. If "train" and "valid" parameters are FALSE (default), then the training table is returned. If more than one parameter is set to TRUE, then a named vector of tables is returned, where the names are "train", "valid".

Usage

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

Arguments

object

An H2OBinomialUpliftMetrics

train

Retrieve the training thresholds and metric scores table

valid

Retrieve the validation thresholds and metric scores table

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.thresholds_and_metric_scores(perf)
}