Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/19746#discussion_r155861030 --- Diff: mllib/src/test/scala/org/apache/spark/ml/feature/VectorSizeHintSuite.scala --- @@ -0,0 +1,173 @@ +/* + * 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.apache.spark.{SparkException, SparkFunSuite} +import org.apache.spark.ml.attribute.AttributeGroup +import org.apache.spark.ml.linalg.{Vector, Vectors} +import org.apache.spark.ml.util.DefaultReadWriteTest +import org.apache.spark.mllib.util.MLlibTestSparkContext +import org.apache.spark.sql.Row +import org.apache.spark.sql.execution.streaming.MemoryStream +import org.apache.spark.sql.streaming.StreamTest + +class VectorSizeHintSuite + extends SparkFunSuite with MLlibTestSparkContext with DefaultReadWriteTest { + + import testImplicits._ + + test("Test Param Validators") { + intercept[IllegalArgumentException] (new VectorSizeHint().setHandleInvalid("invalidValue")) + intercept[IllegalArgumentException] (new VectorSizeHint().setSize(-3)) + } + + test("Adding size to column of vectors.") { + + val size = 3 + val vectorColName = "vector" + val denseVector = Vectors.dense(1, 2, 3) + val sparseVector = Vectors.sparse(size, Array(), Array()) + + val data = Seq(denseVector, denseVector, sparseVector).map(Tuple1.apply) + val dataFrame = data.toDF(vectorColName) + assert( + AttributeGroup.fromStructField(dataFrame.schema(vectorColName)).size == -1, + "Transformer did not add expected size data.") + + for (handleInvalid <- VectorSizeHint.supportedHandleInvalids) { + val transformer = new VectorSizeHint() + .setInputCol(vectorColName) + .setSize(size) + .setHandleInvalid(handleInvalid) + val withSize = transformer.transform(dataFrame) + assert( + AttributeGroup.fromStructField(withSize.schema(vectorColName)).size == size, + "Transformer did not add expected size data.") + withSize.collect --- End diff -- Might as well assert ```withSize.collect().length === 3``` to make sure no Rows were incorrectly filtered
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