Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7084#discussion_r33900063
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/CountVectorizorSuite.scala ---
@@ -0,0 +1,83 @@
+/*
+ * 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.SparkFunSuite
+import org.apache.spark.ml.param.ParamsSuite
+import org.apache.spark.mllib.linalg.{Vector, Vectors}
+import org.apache.spark.mllib.util.MLlibTestSparkContext
+import org.apache.spark.mllib.util.TestingUtils._
+
+class CountVectorizerSuite extends SparkFunSuite with
MLlibTestSparkContext {
+
+ test("params") {
+ ParamsSuite.checkParams(new CountVectorizer(Array("empty")))
+ }
+
+ test("CountVectorizer common cases") {
+ val df = sqlContext.createDataFrame(Seq(
+ (0, "a b c d".split(" ").toSeq),
+ (1, "a b b c d a".split(" ").toSeq),
+ (2, "a".split(" ").toSeq),
+ (3, "".split(" ").toSeq), // empty string
+ (3, "a notInDict d".split(" ").toSeq) // with words not in
vocabulary
+ )).toDF("id", "words")
+ val cv = new CountVectorizer(Array("a", "b", "c", "d"))
+ .setInputCol("words")
+ .setOutputCol("features")
+ val output = cv.transform(df)
+ val features = output.select("features").collect()
+
+ val expected = Seq(
+ Vectors.sparse(4, Seq((0, 1.0), (1, 1.0), (2, 1.0), (3, 1.0))),
+ Vectors.sparse(4, Seq((0, 2.0), (1, 2.0), (2, 1.0), (3, 1.0))),
+ Vectors.sparse(4, Seq((0, 1.0))),
+ Vectors.sparse(4, Seq()),
+ Vectors.sparse(4, Seq((0, 1.0), (3, 1.0))))
+
+ features.zip(expected).foreach(p =>
--- End diff --
scala style: use braces ```{}``` instead of parentheses for multiline
closures
same for other test
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