h2o.thresholds_and_metric_scores | R Documentation |
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".
h2o.thresholds_and_metric_scores(object, train = FALSE, valid = FALSE)
object |
An H2OBinomialUpliftMetrics |
train |
Retrieve the training thresholds and metric scores table |
valid |
Retrieve the validation thresholds and metric scores table |
## 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.thresholds_and_metric_scores(perf)
## End(Not run)
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