Trainer.java
/*
* Copyright (c) 2017, WSO2 Inc. (http://www.wso2.org) All Rights Reserved.
*
* WSO2 Inc. 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.wso2.extension.siddhi.execution.streamingml.clustering.kmeans.util;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import java.util.List;
/**
* trains the model using a separate thread when the batch size is larger than a specified value
*/
public class Trainer implements Runnable {
private static final Logger logger = Logger.getLogger(Trainer.class.getName());
private List<DataPoint> dataPointsArray;
private double decayRate;
private KMeansModel model;
private int numberOfClusters;
private int maximumIterations;
private int dimensionality;
Trainer(List<DataPoint> dataPointsArray, double decayRate, KMeansModel model,
int numberOfClusters, int maximumIterations, int dimensionality) {
this.dataPointsArray = dataPointsArray;
this.decayRate = decayRate;
this.model = model;
this.numberOfClusters = numberOfClusters;
this.maximumIterations = maximumIterations;
this.dimensionality = dimensionality;
}
@Override
public void run() {
logger.setLevel(Level.ALL);
if (logger.isDebugEnabled()) {
logger.debug("running trainer thread");
}
KMeansClusterer.updateCluster(dataPointsArray, decayRate, model, numberOfClusters, maximumIterations,
dimensionality);
}
}