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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.solr.client.solrj.io.eval;
import java.io.IOException;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import org.apache.commons.math3.analysis.interpolation.LoessInterpolator;
import org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction;
import org.apache.solr.client.solrj.io.Tuple;
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionNamedParameter;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
public class LoessEvaluator extends RecursiveNumericEvaluator implements ManyValueWorker {
protected static final long serialVersionUID = 1L;
private double bandwidth = .25;
private int robustIterations = 2;
public LoessEvaluator(StreamExpression expression, StreamFactory factory) throws IOException{
super(expression, factory);
List<StreamExpressionNamedParameter> namedParams = factory.getNamedOperands(expression);
for(StreamExpressionNamedParameter namedParam : namedParams){
if(namedParam.getName().equals("bandwidth")){
this.bandwidth = Double.parseDouble(namedParam.getParameter().toString().trim());
} else if(namedParam.getName().equals("robustIterations")) {
this.robustIterations = Integer.parseInt(namedParam.getParameter().toString().trim());
} else {
throw new IOException("Unexpected named parameter:"+namedParam.getName());
}
}
}
@Override
@SuppressWarnings({"unchecked"})
public Object doWork(Object... objects) throws IOException{
Object first = objects[0];
double[] x = null;
double[] y = null;
if(objects.length == 1) {
//Only the y values passed
y = ((List) first).stream().mapToDouble(value -> ((Number) value).doubleValue()).toArray();
x = new double[y.length];
for(int i=0; i<y.length; i++) {
x[i] = i;
}
} else if(objects.length == 2) {
Object second = objects[1];
x = ((List) first).stream().mapToDouble(value -> ((Number) value).doubleValue()).toArray();
y = ((List) second).stream().mapToDouble(value -> ((Number) value).doubleValue()).toArray();
}
LoessInterpolator interpolator = new LoessInterpolator(bandwidth, robustIterations);
double[] smooth = interpolator.smooth(x, y);
List<Number> list = new ArrayList<>();
for(double yvalue : smooth) {
list.add(yvalue);
}
PolynomialSplineFunction spline = interpolator.interpolate(x, y);
VectorFunction vec = new VectorFunction(spline, list);
vec.addToContext("x", x);
vec.addToContext("y", y);
return vec;
}
public static class LoessRegressionTuple extends Tuple {
private PolynomialSplineFunction spline;
public LoessRegressionTuple(PolynomialSplineFunction spline, Map<?,?> map) {
super(map);
this.spline = spline;
}
public double predict(double value) {
return spline.value(value);
}
}
}