Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5245#discussion_r28846979
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/PolynomialMapperSuite.scala ---
@@ -0,0 +1,116 @@
+/*
+ * 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.ml.feature
+
+import org.scalatest.FunSuite
+
+import org.apache.spark.mllib.linalg.{DenseVector, SparseVector, Vector,
Vectors}
+import org.apache.spark.mllib.util.MLlibTestSparkContext
+import org.apache.spark.mllib.util.TestingUtils._
+import org.apache.spark.sql.{DataFrame, Row, SQLContext}
+
+class PolynomialMapperSuite extends FunSuite with MLlibTestSparkContext {
+
+ def collectResult(result: DataFrame): Array[Vector] = {
+ result.select("poly_features").collect().map {
+ case Row(features: Vector) => features
+ }
+ }
+
+ def assertTypeOfVector(lhs: Array[Vector], rhs: Array[Vector]): Unit = {
+ assert((lhs, rhs).zipped.forall {
+ case (v1: DenseVector, v2: DenseVector) => true
+ case (v1: SparseVector, v2: SparseVector) => true
+ case _ => false
+ }, "The vector type should be preserved after normalization.")
+ }
+
+ def assertValues(lhs: Array[Vector], rhs: Array[Vector]): Unit = {
+ assert((lhs, rhs).zipped.forall { (vector1, vector2) =>
+ vector1 ~== vector2 absTol 1E-1
+ }, "The vector value is not correct after normalization.")
+ }
+
+ test("Polynomial expansion with default parameter") {
+ val data = Array(
+ Vectors.sparse(3, Seq((0, -2.0), (1, 2.3))),
+ Vectors.dense(-2.0, 2.3),
+ Vectors.dense(0.0, 0.0, 0.0),
+ Vectors.dense(0.6, -1.1, -3.0),
+ Vectors.sparse(3, Seq())
+ )
+
+ val sqlContext = new SQLContext(sc)
+ val dataFrame = sqlContext
+ .createDataFrame(sc.parallelize(data,
2).map(Tuple1.apply)).toDF("features")
+
+ val polynomialMapper = new PolynomialMapper()
+ .setInputCol("features")
+ .setOutputCol("poly_features")
+
+ val twoDegreeExpansion: Array[Vector] = Array(
+ Vectors.sparse(9, Array(0, 1, 3, 4, 6), Array(-2.0, 2.3, 4.0, -4.6,
5.29)),
+ Vectors.dense(-2.0, 2.3, 4.0, -4.6, 5.29),
+ Vectors.dense(Array.fill[Double](9)(0.0)),
+ Vectors.dense(0.6, -1.1, -3.0, 0.36, -0.66, -1.8, 1.21, 3.3, 9.0),
+ Vectors.sparse(9, Array.empty[Int], Array.empty[Double]))
+
+ val result = collectResult(polynomialMapper.transform(dataFrame))
+
+ println(result.mkString("\n"))
--- End diff --
remove `println`
---
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