[ML-133][Correlation] Add Correlation algorithm

examples/build-all.sh

@@ -1,6 +1,6 @@
 #!/usr/bin/env bash
 
-exampleDirs=(kmeans pca als naive-bayes linear-regression)
+exampleDirs=(kmeans pca als naive-bayes linear-regression correlation)
 
 for dir in ${exampleDirs[*]}
 do

examples/correlation/IntelGpuResourceFile.json

@@ -0,0 +1 @@
+[{"id":{"componentName": "spark.worker","resourceName":"gpu"},"addresses":["0","1","2","3"]}]

examples/correlation/build.sh

@@ -0,0 +1,3 @@
+#!/usr/bin/env bash
+
+mvn clean package

examples/correlation/pom.xml

@@ -0,0 +1,94 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" 
+  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+
+  <groupId>com.intel.oap</groupId>
+  <artifactId>oap-mllib-examples</artifactId>
+  <version>1.2.0</version>  
+  <packaging>jar</packaging>
+
+  <name>CorrelationExample</name>
+  <url>https://github.com/oap-project/oap-mllib.git</url>
+
+  <properties>
+    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+    <oap.version>1.2.0</oap.version>
+    <scala.version>2.12.10</scala.version>
+    <scala.binary.version>2.12</scala.binary.version>
+    <spark.version>3.1.1</spark.version>
+  </properties>
+
+  <dependencies>
+
+    <dependency>
+      <groupId>org.scala-lang</groupId>
+      <artifactId>scala-library</artifactId>
+      <version>2.12.10</version>
+    </dependency>
+
+    <dependency>
+      <groupId>com.github.scopt</groupId>
+      <artifactId>scopt_2.12</artifactId>
+      <version>3.7.0</version>      
+    </dependency>
+
+    <dependency>
+      <groupId>org.apache.spark</groupId>
+      <artifactId>spark-sql_2.12</artifactId>
+      <version>${spark.version}</version>
+      <scope>provided</scope>
+    </dependency>
+
+    <dependency>
+      <groupId>org.apache.spark</groupId>
+      <artifactId>spark-mllib_2.12</artifactId>
+      <version>${spark.version}</version>
+      <scope>provided</scope>
+    </dependency>
+
+  </dependencies>
+
+  <build>
+    <plugins>
+      <plugin>
+        <groupId>org.scala-tools</groupId>
+        <artifactId>maven-scala-plugin</artifactId>
+        <version>2.15.2</version>
+        <executions>
+          <execution>
+            <goals>
+              <goal>compile</goal>
+              <goal>testCompile</goal>
+            </goals>
+          </execution>
+        </executions>
+        <configuration>
+          <scalaVersion>${scala.version}</scalaVersion>
+          <args>
+            <arg>-target:jvm-1.8</arg>
+          </args>
+        </configuration>
+      </plugin>
+      <plugin>
+        <artifactId>maven-assembly-plugin</artifactId>
+        <version>3.0.0</version>
+        <configuration>
+          <appendAssemblyId>false</appendAssemblyId>
+          <descriptorRefs>
+            <descriptorRef>jar-with-dependencies</descriptorRef>
+          </descriptorRefs>
+        </configuration>
+        <executions>
+          <execution>
+            <id>assembly</id>
+            <phase>package</phase>
+            <goals>
+              <goal>single</goal>
+            </goals>
+          </execution>
+        </executions>
+      </plugin>
+    </plugins>
+  </build>
+
+</project>

examples/correlation/run-gpu-standalone.sh

@@ -0,0 +1,42 @@
+#!/usr/bin/env bash
+
+source ../../conf/env.sh
+
+# Data file is from Spark Examples (data/mllib/sample_kmeans_data.txt) and put in examples/data
+# The data file should be copied to $HDFS_ROOT before running examples
+DATA_FILE=$HDFS_ROOT/data/sample_kmeans_data.txt
+
+APP_JAR=target/oap-mllib-examples-$OAP_MLLIB_VERSION.jar
+APP_CLASS=org.apache.spark.examples.ml.CorrelationExample
+
+USE_GPU=true
+RESOURCE_FILE=$PWD/IntelGpuResourceFile.json
+WORKER_GPU_AMOUNT=4
+EXECUTOR_GPU_AMOUNT=1
+TASK_GPU_AMOUNT=1
+
+# Should run in standalone mode
+time $SPARK_HOME/bin/spark-submit --master $SPARK_MASTER -v \
+    --num-executors $SPARK_NUM_EXECUTORS \
+    --executor-cores $SPARK_EXECUTOR_CORES \
+    --total-executor-cores $SPARK_TOTAL_CORES \
+    --driver-memory $SPARK_DRIVER_MEMORY \
+    --executor-memory $SPARK_EXECUTOR_MEMORY \
+    --conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" \
+    --conf "spark.default.parallelism=$SPARK_DEFAULT_PARALLELISM" \
+    --conf "spark.sql.shuffle.partitions=$SPARK_DEFAULT_PARALLELISM" \
+    --conf "spark.driver.extraClassPath=$SPARK_DRIVER_CLASSPATH" \
+    --conf "spark.executor.extraClassPath=$SPARK_EXECUTOR_CLASSPATH" \
+    --conf "spark.oap.mllib.useGPU=$USE_GPU" \
+    --conf "spark.worker.resourcesFile=$RESOURCE_FILE" \
+    --conf "spark.worker.resource.gpu.amount=$WORKER_GPU_AMOUNT" \
+    --conf "spark.executor.resource.gpu.amount=$EXECUTOR_GPU_AMOUNT" \
+    --conf "spark.task.resource.gpu.amount=$TASK_GPU_AMOUNT" \
+    --conf "spark.shuffle.reduceLocality.enabled=false" \
+    --conf "spark.network.timeout=1200s" \
+    --conf "spark.task.maxFailures=1" \
+    --jars $OAP_MLLIB_JAR \
+    --class $APP_CLASS \
+    $APP_JAR $DATA_FILE \
+    2>&1 | tee Correlation-$(date +%m%d_%H_%M_%S).log
+

examples/correlation/run.sh

@@ -0,0 +1,26 @@
+#!/usr/bin/env bash
+
+source ../../conf/env.sh
+
+
+APP_JAR=target/oap-mllib-examples-$OAP_MLLIB_VERSION.jar
+APP_CLASS=org.apache.spark.examples.ml.CorrelationExample
+
+time $SPARK_HOME/bin/spark-submit --master $SPARK_MASTER -v \
+    --num-executors $SPARK_NUM_EXECUTORS \
+    --executor-cores $SPARK_EXECUTOR_CORES \
+    --total-executor-cores $SPARK_TOTAL_CORES \
+    --driver-memory $SPARK_DRIVER_MEMORY \
+    --executor-memory $SPARK_EXECUTOR_MEMORY \
+    --conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" \
+    --conf "spark.default.parallelism=$SPARK_DEFAULT_PARALLELISM" \
+    --conf "spark.sql.shuffle.partitions=$SPARK_DEFAULT_PARALLELISM" \
+    --conf "spark.driver.extraClassPath=$SPARK_DRIVER_CLASSPATH" \
+    --conf "spark.executor.extraClassPath=$SPARK_EXECUTOR_CLASSPATH" \
+    --conf "spark.shuffle.reduceLocality.enabled=false" \
+    --conf "spark.network.timeout=1200s" \
+    --conf "spark.task.maxFailures=1" \
+    --jars $OAP_MLLIB_JAR \
+    --class $APP_CLASS \
+    $APP_JAR $DATA_FILE \
+    2>&1 | tee Correlation-$(date +%m%d_%H_%M_%S).log

examples/correlation/src/main/scala/org/apache/spark/examples/ml/CorrelationExample.scala

@@ -0,0 +1,65 @@
+/*
+ * 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.
+ */
+
+// scalastyle:off println
+package org.apache.spark.examples.ml
+
+// $example on$
+import org.apache.spark.ml.linalg.{Matrix, Vectors}
+import org.apache.spark.ml.stat.Correlation
+import org.apache.spark.sql.Row
+// $example off$
+import org.apache.spark.sql.SparkSession
+
+/**
+ * An example for computing correlation matrix.
+ * Run with
+ * {{{
+ * bin/run-example ml.CorrelationExample
+ * }}}
+ */
+object CorrelationExample {
+
+  def main(args: Array[String]): Unit = {
+    val spark = SparkSession
+      .builder
+      .appName("CorrelationExample")
+      .getOrCreate()
+    import spark.implicits._
+
+    // $example on$
+    val data = Seq(
+      Vectors.dense(5.308206,9.869278,1.018934,4.292158,6.081011,6.585723,2.411094,4.767308,-3.256320,-6.029562),
+      Vectors.dense(7.279464,0.390664,-9.619284,3.435376,-4.769490,-4.873188,-0.118791,-5.117316,-0.418655,-0.475422),
+      Vectors.dense(-6.615791,-6.191542,0.402459,-9.743521,-9.990568,9.105346,1.691312,-2.605659,9.534952,-7.829027),
+      Vectors.dense(-4.792007,-2.491098,-2.939393,8.086467,3.773812,-9.997300,0.222378,8.995244,-5.753282,6.091060),
+      Vectors.dense(7.700725,-6.414918,1.684476,-8.983361,4.284580,-9.017608,0.552379,-7.705741,2.589852,0.411561),
+      Vectors.dense(6.991900,-1.063721,9.321163,-0.429719,-2.167696,-1.736425,-0.919139,6.980681,-0.711914,3.414347),
+      Vectors.dense(5.794488,-1.062261,0.955322,0.389642,3.012921,-9.953994,-3.197309,3.992421,-6.935902,8.147622),
+      Vectors.dense(-2.486670,6.973242,-4.047004,-5.655629,5.081786,5.533859,7.821403,2.763313,-0.454056,6.554309),
+      Vectors.dense(2.204855,7.839522,7.381886,1.618749,-6.566877,7.584285,-8.355983,-5.501410,-8.191205,-2.608499),
+      Vectors.dense(-9.948613,-8.941953,-8.106389,4.863542,5.852806,-1.659259,6.342504,-8.190106,-3.110330,-7.484658),
+    )
+
+    val df = data.map(Tuple1.apply).toDF("features")
+    val Row(coeff1: Matrix) = Correlation.corr(df, "features").head
+    println(s"Pearson correlation matrix:\n $coeff1")
+
+    spark.stop()
+  }
+}
+// scalastyle:on println

examples/run-all-scala.sh

@@ -1,6 +1,6 @@
 #!/usr/bin/env bash
 
-exampleDirs=(kmeans pca als naive-bayes linear-regression)
+exampleDirs=(kmeans pca als naive-bayes linear-regression correlation)
 
 for dir in ${exampleDirs[*]}
 do

mllib-dal/src/assembly/assembly-cpu-gpu.xml

@@ -43,7 +43,7 @@
         <file>
             <source>${env.TBBROOT}/lib/intel64/gcc4.8/${tbb.lib}</source>
             <outputDirectory>lib</outputDirectory>
-            <destName>libtbb.so.2</destName>
+            <destName>libtbb.so.12</destName>
         </file>
         <file>
             <source>${env.TBBROOT}/lib/intel64/gcc4.8/${tbb.malloc.lib}</source>

mllib-dal/src/main/java/org/apache/spark/ml/stat/CorrelationResult.java

@@ -0,0 +1,21 @@
+/*******************************************************************************
+ * Copyright 2020 Intel Corporation
+ *
+ * Licensed 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.stat;
+
+public class CorrelationResult {
+    public long correlationNumericTable;
+}