h2o (version 3.10.5.3)

h2o.rmse: Retrieves Root Mean Squared Error Value

Description

Retrieves the root mean squared error value from an object. If "train", "valid", and "xval" parameters are FALSE (default), then the training RMSEvalue is returned. If more than one parameter is set to TRUE, then a named vector of RMSEs are returned, where the names are "train", "valid" or "xval".

Usage

h2o.rmse(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object

An object of the correct type.

train

Retrieve the training RMSE

valid

Retrieve the validation RMSE

xval

Retrieve the cross-validation RMSE

Details

This function only supports , , and objects.

See Also

h2o.auc for AUC, h2o.mse for RMSE, and h2o.metric for the various threshold metrics. See h2o.performance for creating H2OModelMetrics objects.

Examples

library(h2o)
h2o.init()

prosPath <- system.file("extdata", "prostate.csv", package="h2o")
hex <- h2o.uploadFile(prosPath)

hex[,2] <- as.factor(hex[,2])
model <- h2o.gbm(x = 3:9, y = 2, training_frame = hex, distribution = "bernoulli")
perf <- h2o.performance(model, hex)
h2o.rmse(perf)