h2o: as.data.frame.H2OSegmentModels – R documentation

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h2o

as.data.frame.H2OSegmentModels

Converts a collection of Segment Models to a data.frame

Description

Converts a collection of Segment Models to a data.frame

Usage

## S3 method for class 'H2OSegmentModels'
as.data.frame(x, ...)

Arguments

`x`	Object of class H2OSegmentModels.
`...`	Further arguments to be passed down from other methods.

Value

Returns data.frame with result of segment model training.

Examples

## Not run: 
library(h2o)
h2o.init()
iris_hf <- as.h2o(iris)
models <- h2o.train_segments(algorithm = "gbm",
                             segment_columns = "Species",
                             x = c(1:3), y = 4,
                             training_frame = iris_hf,
                             ntrees = 5,
                             max_depth = 4)
as.data.frame(models)

## 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