Provides the method h2o.mojo_predict_csv with which you can predict a MOJO model from R.
Usage
h2o.mojo_predict_csv(
input_csv_path,
mojo_zip_path,
output_csv_path = NULL,
genmodel_jar_path = NULL,
classpath = NULL,
java_options = NULL,
verbose = F,
setInvNumNA = F
)Arguments
- input_csv_path
Path to input CSV file.
- mojo_zip_path
Path to MOJO zip downloaded from H2O.
- output_csv_path
Optional, path to the output CSV file with computed predictions. If NULL (default), then predictions will be saved as prediction.csv in the same folder as the MOJO zip.
- 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.