h2o: h2o.hit_ratio_table – R documentation

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h2o.hit_ratio_table

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

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2

Apache License (== 2.0)

Authors

Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]

Initial release

2021-04-29

h2o.hit_ratio_table

Description

Usage

Arguments

Examples

h2o

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