Package hex.genmodel.easy

The easy prediction API for generated POJO and MOJO models.

See: Description

Class Summary

Class	Description
EasyPredictModelWrapper	An easy-to-use prediction wrapper for generated models.
EasyPredictModelWrapper.Config	Configuration builder for instantiating a Wrapper.
RowData	Column name to column value mapping for a new row (aka data point, observation, sample) to predict.

Package hex.genmodel.easy Description

The easy prediction API for generated POJO and MOJO models. Use as follows:

1. Instantiate an EasyPredictModelWrapper
2. Create a new row of data
3. Call one of the predict methods

Here is an example:

   // Step 1.
   modelClassName = "your_pojo_model_downloaded_from_h2o";
   GenModel rawModel;
   rawModel = (GenModel) Class.forName(modelClassName).newInstance();
   EasyPredictModelWrapper model = new EasyPredictModelWrapper(rawModel);
   //
   // By default, unknown categorical levels throw PredictUnknownCategoricalLevelException.
   // Optionally configure the wrapper to treat unknown categorical levels as N/A instead:
   //
   //     EasyPredictModelWrapper model = new EasyPredictModelWrapper(
   //                                         new EasyPredictModelWrapper.Config()
   //                                             .setModel(rawModel)
   //                                             .setConvertUnknownCategoricalLevelsToNa(true));

   // Step 2.
   RowData row = new RowData();
   row.put(new String("CategoricalColumnName"), new String("LevelName"));
   row.put(new String("NumericColumnName1"), new String("42.0"));
   row.put(new String("NumericColumnName2"), new Double(42.0));

   // Step 3.
   BinomialModelPrediction p = model.predictBinomial(row);