h2o.mojo_predict_csv function

H2O Prediction from R without having H2O running

H2O Prediction from R without having H2O running

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

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.

Returns

Returns a data.frame containing computed predictions

  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11