Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5500#discussion_r28460811
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/OneHotEncoder.scala ---
@@ -0,0 +1,66 @@
+/*
+ * 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.annotation.AlphaComponent
+import org.apache.spark.ml.Transformer
+import org.apache.spark.ml.attribute.NominalAttribute
+import org.apache.spark.ml.param._
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.functions._
+import org.apache.spark.sql.types.{StringType, StructType}
+
+@AlphaComponent
+class OneHotEncoder(labelNames: Seq[String], includeFirst: Boolean = true)
extends Transformer
--- End diff --
Need JavaDoc. For pipeline components, we use default constructor and set
parameter values in setters. Since OneHotEncoder is a unary transformer, you
can extend `UnaryTransformer` directly and then overwrite
`createTransformFunc`. Please check the implementation of `StringIndexer` and
see how to define parameters and their default values.
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