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JPMML Apache Spark ML to PMML converter
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/*
* Copyright (c) 2016 Villu Ruusmann
*
* This file is part of JPMML-SparkML
*
* JPMML-SparkML is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* JPMML-SparkML is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with JPMML-SparkML. If not, see .
*/
package org.jpmml.sparkml.feature;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.apache.spark.ml.feature.Interaction;
import org.dmg.pmml.DataType;
import org.jpmml.converter.CategoricalFeature;
import org.jpmml.converter.Feature;
import org.jpmml.converter.FieldNameUtil;
import org.jpmml.converter.InteractionFeature;
import org.jpmml.sparkml.FeatureConverter;
import org.jpmml.sparkml.SparkMLEncoder;
public class InteractionConverter extends FeatureConverter {
public InteractionConverter(Interaction transformer){
super(transformer);
}
@Override
public List encodeFeatures(SparkMLEncoder encoder){
Interaction transformer = getTransformer();
StringBuilder sb = new StringBuilder();
List result = new ArrayList<>();
String[] inputCols = transformer.getInputCols();
for(int i = 0; i < inputCols.length; i++){
String inputCol = inputCols[i];
List features = encoder.getFeatures(inputCol);
if(features.size() == 1){
Feature feature = features.get(0);
categorical:
if(feature instanceof CategoricalFeature){
CategoricalFeature categoricalFeature = (CategoricalFeature)feature;
String name = categoricalFeature.getName();
DataType dataType = categoricalFeature.getDataType();
switch(dataType){
case INTEGER:
break;
case FLOAT:
case DOUBLE:
break categorical;
default:
break;
}
// XXX
inputCol = name;
features = (List)OneHotEncoderModelConverter.encodeFeature(encoder, categoricalFeature, categoricalFeature.getValues(), false);
}
} // End if
if(i == 0){
sb.append(inputCol);
result = features;
} else
{
sb.append(':').append(inputCol);
List interactionFeatures = new ArrayList<>();
int index = 0;
for(Feature left : result){
for(Feature right : features){
interactionFeatures.add(new InteractionFeature(encoder, FieldNameUtil.select(sb.toString(), index), DataType.DOUBLE, Arrays.asList(left, right)));
index++;
}
}
result = interactionFeatures;
}
}
return result;
}
}
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