Github user Yunni commented on a diff in the pull request:
https://github.com/apache/spark/pull/15148#discussion_r81000669
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/feature/lsh/LSHTest.scala ---
@@ -0,0 +1,125 @@
+/*
+ * 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.lsh
+
+import org.apache.spark.ml.linalg.Vector
+import org.apache.spark.sql.Dataset
+import org.apache.spark.sql.functions._
+import org.apache.spark.sql.types.DataTypes
+
+private[ml] object LSHTest {
+ /**
+ * For any locality sensitive function h in a metric space, we meed to
verify whether
+ * the following property is satisfied.
+ *
+ * There exist d1, d2, p1, p2, so that for any two elements e1 and e2,
+ * If dist(e1, e2) >= dist1, then Pr{h(x) == h(y)} >= p1
+ * If dist(e1, e2) <= dist2, then Pr{h(x) != h(y)} <= p2
+ *
+ * This is called locality sensitive property. This method checks the
property on an
+ * existing dataset and calculate the probabilities.
+ * (https://en.wikipedia.org/wiki/Locality-sensitive_hashing#Definition)
+ *
+ * @param dataset The dataset to verify the locality sensitive hashing
property.
+ * @param lsh The lsh instance to perform the hashing
+ * @param dist1 Distance threshold for false positive
+ * @param dist2 Distance threshold for false negative
+ * @tparam KeyType The input key type of LSH
+ * @tparam T The class type of lsh
+ * @return A tuple of two doubles, representing the false positive and
false negative rate
+ */
+ def checkLSHProperty[KeyType, T <: LSHModel[KeyType, T]]
--- End diff --
Renamed the method.
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