/*
 * 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 io.siddhi.extension.execution.streamingml.clustering.kmeans.util;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.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 = LogManager.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() {
        if (logger.isDebugEnabled()) {
            logger.debug("running trainer thread");
        }
        KMeansClusterer.updateCluster(dataPointsArray, decayRate, model, numberOfClusters, maximumIterations,
                dimensionality);
    }
}
