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)
| 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. |
Returns a data.frame containing computed predictions