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

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. Path to MOJO zip downloaded from H2O. 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. 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. Optional, custom user defined options for Java. By default '-Xmx4g -XX:ReservedCodeCacheSize=256m' is used. Optional, if TRUE, then additional debug information will be printed. FALSE by default. 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