h2o: h2o.predict_json – R documentation

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h2o

h2o.predict_json

H2O Prediction from R without having H2O running

Description

Provides the method h2o.predict with which you can predict a MOJO or POJO Jar model from R.

Usage

h2o.predict_json(model, json, genmodelpath, labels, classpath, javaoptions)

Arguments

`model`	String with file name of MOJO or POJO Jar
`json`	JSON String with inputs to model
`genmodelpath`	(Optional) path name to h2o-genmodel.jar, if not set defaults to same dir as MOJO
`labels`	(Optional) if TRUE then show output labels in result
`classpath`	(Optional) Extra items for the class path of where to look for Java classes, e.g., h2o-genmodel.jar
`javaoptions`	(Optional) Java options string, default if "-Xmx4g"

Value

Returns an object with the prediction result

Examples

## Not run: 
library(h2o)
h2o.predict_json('~/GBM_model_python_1473313897851_6.zip', '{"C7":1}')
h2o.predict_json('~/GBM_model_python_1473313897851_6.zip', '{"C7":1}', c(".", "lib"))

## 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