h2o.mojo_predict_df: H2O Prediction from R without having H2O running

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

H2O Prediction from R without having H2O running

Description

Provides the method h2o.mojo_predict_df with which you can predict a MOJO model from R.

Usage

h2o.mojo_predict_df(
  frame,
  mojo_zip_path,
  genmodel_jar_path = NULL,
  classpath = NULL,
  java_options = NULL,
  verbose = F,
  setInvNumNA = F
)

Arguments

frame	data.frame to score.
mojo_zip_path	Path to MOJO zip downloaded from H2O.
genmodel_jar_path	Optional, path to genmodel jar file. If NULL (default) then the h2o-genmodel.jar in the same folder as the MOJO zip will be used.
classpath	Optional, specifies custom user defined classpath which will be used when scoring. If NULL (default) then the default classpath for this MOJO model will be used.
java_options	Optional, custom user defined options for Java. By default '-Xmx4g -XX:ReservedCodeCacheSize=256m' is used.
verbose	Optional, if TRUE, then additional debug information will be printed. FALSE by default.
setInvNumNA	Optional, if TRUE, then then for an string that cannot be parsed into a number an N/A value will be produced, if false the command will fail. FALSE by default.

Value

Returns a data.frame containing computed predictions

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