h2o: h2o.get_leaderboard – R documentation

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h2o.get_leaderboard

Retrieve the leaderboard from the AutoML instance.

Description

Contrary to the default leaderboard attached to the automl instance, this one can return columns other than the metrics.

Usage

h2o.get_leaderboard(object, extra_columns = NULL)

Arguments

object

The object for which to return the leaderboard. Currently, only H2OAutoML instances are supported.

extra_columns

A string or a list of string specifying which optional columns should be added to the leaderboard. Defaults to None. Currently supported extensions are:

'ALL': adds all columns below.
'training_time_ms': column providing the training time of each model in milliseconds (doesn't include the training of cross validation models).
'predict_time_per_row_ms': column providing the average prediction time by the model for a single row.
'algo': column providing the algorithm name for each model.

Value

An H2OFrame representing the leaderboard.

Examples

## Not run: 
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(path = prostate_path, header = TRUE)
y <- "CAPSULE"
prostate[,y] <- as.factor(prostate[,y])  #convert to factor for classification
aml <- h2o.automl(y = y, training_frame = prostate, max_runtime_secs = 30)
lb <- h2o.get_leaderboard(aml)
head(lb)

## 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