Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/4716#discussion_r39896288
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/stat/test/StreamingTest.scala ---
@@ -0,0 +1,145 @@
+/*
+ * 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.mllib.stat.test
+
+import org.apache.spark.Logging
+import org.apache.spark.annotation.{Experimental, Since}
+import org.apache.spark.streaming.dstream.DStream
+import org.apache.spark.util.StatCounter
+
+/**
+ * :: Experimental ::
+ * Performs online 2-sample significance testing for a stream of (Boolean,
Double) pairs. The
+ * Boolean identifies which sample each observation comes from, and the
Double is the numeric value
+ * of the observation.
+ *
+ * To address novelty affects, the `peacePeriod` specifies a set number of
initial
+ * [[org.apache.spark.rdd.RDD]] batches of the [[DStream]] to be dropped
from significance testing.
+ *
+ * The `windowSize` sets the number of batches each significance test is
to be performed over. The
+ * window is sliding with a stride length of 1 batch. Setting windowSize
to 0 will perform
+ * cumulative processing, using all batches seen so far.
+ *
+ * Different tests may be used for assessing statistical significance
depending on assumptions
+ * satisfied by data. For more details, see [[StreamingTestMethod]]. The
`testMethod` specifies
+ * which test will be used.
+ *
+ * Use a builder pattern to construct a streaming test in an application,
for example:
+ * ```
+ * val model = new OnlineABTest()
+ * .setPeacePeriod(10)
+ * .setWindowSize(0)
+ * .setTestMethod("welch")
+ * .registerStream(DStream)
+ * ```
+ */
+@Experimental
+@Since("1.6.0")
+class StreamingTest(
+ @Since("1.6.0") var peacePeriod: Int = 0,
--- End diff --
OK
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