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Diffstat (limited to 'examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala')
-rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala new file mode 100644 index 0000000000..5f43e65712 --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/ml/LinearSVCExample.scala @@ -0,0 +1,52 @@ +/* + * 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. + */ + +// scalastyle:off println +package org.apache.spark.examples.ml + +// $example on$ +import org.apache.spark.ml.classification.LinearSVC +// $example off$ +import org.apache.spark.sql.SparkSession + +object LinearSVCExample { + + def main(args: Array[String]): Unit = { + val spark = SparkSession + .builder + .appName("LinearSVCExample") + .getOrCreate() + + // $example on$ + // Load training data + val training = spark.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt") + + val lsvc = new LinearSVC() + .setMaxIter(10) + .setRegParam(0.1) + + // Fit the model + val lsvcModel = lsvc.fit(training) + + // Print the coefficients and intercept for linear svc + println(s"Coefficients: ${lsvcModel.coefficients} Intercept: ${lsvcModel.intercept}") + // $example off$ + + spark.stop() + } +} +// scalastyle:on println |