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OSCL-LXR

 
 

    


0001 /*
0002  * Licensed to the Apache Software Foundation (ASF) under one or more
0003  * contributor license agreements.  See the NOTICE file distributed with
0004  * this work for additional information regarding copyright ownership.
0005  * The ASF licenses this file to You under the Apache License, Version 2.0
0006  * (the "License"); you may not use this file except in compliance with
0007  * the License.  You may obtain a copy of the License at
0008  *
0009  *    http://www.apache.org/licenses/LICENSE-2.0
0010  *
0011  * Unless required by applicable law or agreed to in writing, software
0012  * distributed under the License is distributed on an "AS IS" BASIS,
0013  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
0014  * See the License for the specific language governing permissions and
0015  * limitations under the License.
0016  */
0017 
0018 package org.apache.spark.examples.ml;
0019 
0020 // $example on$
0021 import org.apache.spark.ml.classification.LinearSVC;
0022 import org.apache.spark.ml.classification.LinearSVCModel;
0023 import org.apache.spark.sql.Dataset;
0024 import org.apache.spark.sql.Row;
0025 import org.apache.spark.sql.SparkSession;
0026 // $example off$
0027 
0028 public class JavaLinearSVCExample {
0029   public static void main(String[] args) {
0030     SparkSession spark = SparkSession
0031       .builder()
0032       .appName("JavaLinearSVCExample")
0033       .getOrCreate();
0034 
0035     // $example on$
0036     // Load training data
0037     Dataset<Row> training = spark.read().format("libsvm")
0038       .load("data/mllib/sample_libsvm_data.txt");
0039 
0040     LinearSVC lsvc = new LinearSVC()
0041       .setMaxIter(10)
0042       .setRegParam(0.1);
0043 
0044     // Fit the model
0045     LinearSVCModel lsvcModel = lsvc.fit(training);
0046 
0047     // Print the coefficients and intercept for LinearSVC
0048     System.out.println("Coefficients: "
0049       + lsvcModel.coefficients() + " Intercept: " + lsvcModel.intercept());
0050     // $example off$
0051 
0052     spark.stop();
0053   }
0054 }