h2o (version 3.20.0.8)

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

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

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