Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6880#discussion_r38951966
--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/DenseDpMeans.scala ---
@@ -0,0 +1,106 @@
+/*
+ * 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.
+ */
+
+package org.apache.spark.examples.mllib
+
+import scopt.OptionParser
+
+import org.apache.spark.mllib.clustering.DpMeans
+import org.apache.spark.mllib.linalg.Vectors
+import org.apache.spark.{SparkConf, SparkContext}
+
+/**
+ * An example DP means app. Run with
+ * {{{
+ * ./bin/run-example mllib.DenseDpMeans <--lambda> [<--convergenceTol>
<--maxIterations>] <input>
+ * }}}
+ * If you use it as a template to create your own app, please use
`spark-submit` to submit your app.
+ */
+object DenseDpMeans {
+ case class Params(
+ input: String = null,
+ lambda: Double = 0.0,
+ convergenceTol: Double = 0.01,
+ maxIterations: Int = 20) extends AbstractParams[Params]
+
+ def main(args: Array[String]) {
+ val defaultParams = Params()
+
+ val parser = new OptionParser[Params]("DenseDpMeans") {
+ head("DenseDpMeans: Dp means example application.")
+ opt[Double]("lambda")
+ .required()
+ .text("distance threshold, required")
+ .action((x, c) => c.copy(lambda = x))
+ opt[Double]("convergenceTol")
+ .abbr("ct")
+ .text(s"convergence threshold, default:
${defaultParams.convergenceTol}")
+ .action((x, c) => c.copy(convergenceTol = x))
+ opt[Int]("maxIterations")
+ .abbr("iter")
+ .text(s"number of iterations, default:
${defaultParams.maxIterations}")
+ .action((x, c) => c.copy(maxIterations = x))
+ arg[String]("<input>")
+ .text("path to input data")
+ .required()
+ .action((x, c) => c.copy(input = x))
+ }
+
+ parser.parse(args, defaultParams).map { params =>
+ run(params)
+ }.getOrElse {
+ sys.exit(1)
+ }
+ }
+
+ private def run(params: Params) {
+ val conf = new SparkConf().setAppName("DP means example")
--- End diff --
`DP-means`
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