/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch 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.elasticsearch.ml.models;
import org.elasticsearch.ml.modelinput.VectorModelInput;
import java.util.HashMap;
import java.util.Map;
public class EsLinearSVMModel extends EsRegressionModelEvaluator {
public EsLinearSVMModel(double[] coefficients,
double intercept, String[] classes) {
super(coefficients, intercept, classes);
}
protected Map<String, Object> prepareResult(double val) {
String classValue = val > 0 ? classes[0] : classes[1];
Map<String, Object> result = new HashMap<>();
result.put("class", classValue);
return result;
}
@Override
public Map<String, Object> evaluateDebug(VectorModelInput modelInput) {
double val = linearFunction(modelInput);
return prepareResult(val);
}
@Override
public String evaluate(VectorModelInput modelInput) {
double val = linearFunction(modelInput);
return val > 0 ? classes[0] : classes[1];
}
}