h2o (version 3.28.0.2)

h2o.make_metrics: Create Model Metrics from predicted and actual values in H2O

Description

Given predicted values (target for regression, class-1 probabilities or binomial or per-class probabilities for multinomial), compute a model metrics object

Usage

h2o.make_metrics(predicted, actuals, domain = NULL, distribution = NULL)

Arguments

predicted

An H2OFrame containing predictions

actuals

An H2OFrame containing actual values

domain

Vector with response factors for classification.

distribution

Distribution for regression.

Value

Returns an object of the '>H2OModelMetrics subclass.

Examples

# NOT RUN {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
prostate$CAPSULE <- as.factor(prostate$CAPSULE)
prostate_gbm <- h2o.gbm(3:9, "CAPSULE", prostate)
pred <- h2o.predict(prostate_gbm, prostate)[,3] ## class-1 probability
h2o.make_metrics(pred, prostate$CAPSULE)
# }