Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/15148#discussion_r82445744
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/RandomProjection.scala ---
@@ -0,0 +1,127 @@
+/*
+ * 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 scala.util.Random
+
+import breeze.linalg.normalize
+
+import org.apache.spark.annotation.{Experimental, Since}
+import org.apache.spark.ml.linalg.{BLAS, Vector, Vectors, VectorUDT}
+import org.apache.spark.ml.param.{DoubleParam, Params, ParamValidators}
+import org.apache.spark.ml.util.Identifiable
+import org.apache.spark.sql.types.StructType
+
+/**
+ * Params for [[RandomProjection]].
+ */
+@Experimental
+@Since("2.1.0")
+private[ml] trait RandomProjectionParams extends Params {
+ @Since("2.1.0")
+ val bucketLength: DoubleParam = new DoubleParam(this, "bucketLength",
+ "the length of each hash bucket, a larger bucket lowers the false
negative rate.",
+ ParamValidators.gt(0))
+
+ /** @group getParam */
+ @Since("2.1.0")
+ final def getBucketLength: Double = $(bucketLength)
+}
+
+/**
+ * Model produced by [[RandomProjection]]
--- End diff --
For Experimental classes, begin the Scaladoc with a line with:
```
:: Experimental ::
```
(See e.g. MultilayerPerceptronClassifier)
Also, add doc for randUnitVectors since it shows up in the API as member
data:
```
@param randUnitVectors ...
```
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