/*
* Copyright (c) 2016 Villu Ruusmann
*
* This file is part of JPMML-SkLearn
*
* JPMML-SkLearn 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-SkLearn 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-SkLearn. If not, see <http://www.gnu.org/licenses/>.
*/
package sklearn.preprocessing;
import java.util.ArrayList;
import java.util.List;
import numpy.core.UFunc;
import org.dmg.pmml.DerivedField;
import org.dmg.pmml.Expression;
import org.dmg.pmml.FieldName;
import org.dmg.pmml.FieldRef;
import org.jpmml.converter.ContinuousFeature;
import org.jpmml.converter.Feature;
import org.jpmml.converter.FeatureUtil;
import org.jpmml.converter.PMMLUtil;
import org.jpmml.sklearn.ClassDictUtil;
import org.jpmml.sklearn.SkLearnEncoder;
import sklearn.Transformer;
public class FunctionTransformer extends Transformer {
public FunctionTransformer(String module, String name){
super(module, name);
}
@Override
public List<Feature> encodeFeatures(List<Feature> features, SkLearnEncoder encoder){
Object func = getFunc();
UFunc ufunc;
try {
ufunc = (UFunc)func;
} catch(ClassCastException cce){
throw new IllegalArgumentException("The function object (" + ClassDictUtil.formatClass(func) + ") is not a Numpy universal function", cce);
}
List<Feature> result = new ArrayList<>();
for(int i = 0; i < features.size(); i++){
ContinuousFeature continuousFeature = (features.get(i)).toContinuousFeature();
FieldName name = FeatureUtil.createName(ufunc.getName(), continuousFeature);
DerivedField derivedField = encoder.getDerivedField(name);
if(derivedField == null){
Expression expression = encodeUFunc(ufunc, continuousFeature.ref());
derivedField = encoder.createDerivedField(name, expression);
}
result.add(new ContinuousFeature(encoder, derivedField));
}
return result;
}
public Object getFunc(){
return get("func");
}
static
Expression encodeUFunc(UFunc ufunc, FieldRef fieldRef){
String name = ufunc.getName();
switch(name){
case "absolute":
return PMMLUtil.createApply("abs", fieldRef);
case "ceil":
case "exp":
case "floor":
return PMMLUtil.createApply(name, fieldRef);
case "log":
return PMMLUtil.createApply("ln", fieldRef);
case "log10":
return PMMLUtil.createApply(name, fieldRef);
case "negative":
return PMMLUtil.createApply("*", PMMLUtil.createConstant(-1), fieldRef);
case "reciprocal":
return PMMLUtil.createApply("/", PMMLUtil.createConstant(1), fieldRef);
case "sign":
return PMMLUtil.createApply("if", PMMLUtil.createApply("lessThan", fieldRef, PMMLUtil.createConstant(0)),
PMMLUtil.createConstant(-1), // x < 0
PMMLUtil.createApply("if", PMMLUtil.createApply("greaterThan", fieldRef, PMMLUtil.createConstant(0)),
PMMLUtil.createConstant(+1), // x > 0
PMMLUtil.createConstant(0) // x == 0
)
);
case "sqrt":
return PMMLUtil.createApply(name, fieldRef);
case "square":
return PMMLUtil.createApply("*", fieldRef, fieldRef);
default:
break;
}
switch(name){
case "asin":
case "acos":
case "atan":
case "atan2":
case "cos":
case "cosh":
case "expm1":
case "hypot":
return PMMLUtil.createApply("x-" + name, fieldRef);
case "log1p":
return PMMLUtil.createApply("x-ln1p", fieldRef);
case "rint":
case "sin":
case "sinh":
case "tan":
case "tanh":
return PMMLUtil.createApply("x-" + name, fieldRef);
default:
throw new IllegalArgumentException(name);
}
}
}