h2o.hit_ratio_table: Retrieve the Hit Ratios

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve the Hit Ratios

Description

If "train", "valid", and "xval" parameters are FALSE (default), then the training Hit Ratios value is returned. If more than one parameter is set to TRUE, then a named list of Hit Ratio tables are returned, where the names are "train", "valid" or "xval".

Usage

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

Arguments

object	An H2OModel object.
train	Retrieve the training Hit Ratio
valid	Retrieve the validation Hit Ratio
xval	Retrieve the cross-validation Hit Ratio

Examples

## Not run: 
library(h2o)
h2o.init()

f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/iris/iris_wheader.csv"
iris <- h2o.importFile(f)
iris_split <- h2o.splitFrame(data = iris, ratios = 0.8, seed = 1234)
train <- iris_split[[1]]
valid <- iris_split[[2]]

iris_xgb <- h2o.xgboost(x = 1:4, y = 5, training_frame = train, validation_frame = valid)
hrt_iris <- h2o.hit_ratio_table(iris_xgb, valid = TRUE)
hrt_iris

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.