h2otools (version 0.4)

performance: provides performance measures using objects from h2o

Description

takes h2o performance object of class "H2OBinomialMetrics" alongside caret confusion matrix and provides different model performance measures supported by h2o and caret

Usage

performance(perf)

Value

numeric vector

Arguments

perf

h2o performance object of class "H2OBinomialMetrics"

Author

E. F. Haghish

Examples

if (FALSE) {
library(h2o)
h2o.init(ignore_config = TRUE, nthreads = 2, bind_to_localhost = FALSE, insecure = TRUE)
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path, header = TRUE)
y <- "CAPSULE"
prostate[,y] <- as.factor(prostate[,y])  #convert to factor for classification
aml <- h2o.automl(y = y, training_frame = prostate, max_runtime_secs = 30)

# evaluate the model performance
perf <- h2o.performance(aml@leader, xval = TRUE)

# compute more performance measures
performance(perf)

}