From 8e190c76af721cdae529b4a6d01f8dc9d8666379 Mon Sep 17 00:00:00 2001
From: Kumar Chandrakant <kchandrakant@gmail.com>
Date: Sat, 24 Aug 2019 02:02:02 +0530
Subject: [PATCH] Adding source code for the tutorial tracked under BAEL-3203.
 (#7600)

---
 apache-spark/data/iris.data                   | 150 ++++++++++++++++++
 .../logistic-regression/data/._SUCCESS.crc    | Bin 0 -> 8 bytes
 ...-80d9-8e1edf399601-c000.snappy.parquet.crc | Bin 0 -> 24 bytes
 .../model/logistic-regression/data/_SUCCESS   |   0
 ...41ff-80d9-8e1edf399601-c000.snappy.parquet | Bin 0 -> 1789 bytes
 .../metadata/._SUCCESS.crc                    | Bin 0 -> 8 bytes
 .../metadata/.part-00000.crc                  | Bin 0 -> 12 bytes
 .../logistic-regression/metadata/_SUCCESS     |   0
 .../logistic-regression/metadata/part-00000   |   1 +
 apache-spark/pom.xml                          | 132 +++++++--------
 .../com/baeldung/ml/MachineLearningApp.java   | 111 +++++++++++++
 11 files changed, 332 insertions(+), 62 deletions(-)
 create mode 100644 apache-spark/data/iris.data
 create mode 100644 apache-spark/model/logistic-regression/data/._SUCCESS.crc
 create mode 100644 apache-spark/model/logistic-regression/data/.part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet.crc
 create mode 100644 apache-spark/model/logistic-regression/data/_SUCCESS
 create mode 100644 apache-spark/model/logistic-regression/data/part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet
 create mode 100644 apache-spark/model/logistic-regression/metadata/._SUCCESS.crc
 create mode 100644 apache-spark/model/logistic-regression/metadata/.part-00000.crc
 create mode 100644 apache-spark/model/logistic-regression/metadata/_SUCCESS
 create mode 100644 apache-spark/model/logistic-regression/metadata/part-00000
 create mode 100644 apache-spark/src/main/java/com/baeldung/ml/MachineLearningApp.java

diff --git a/apache-spark/data/iris.data b/apache-spark/data/iris.data
new file mode 100644
index 0000000000..396653cc98
--- /dev/null
+++ b/apache-spark/data/iris.data
@@ -0,0 +1,150 @@
+5.1,3.5,1.4,0.2,Iris-setosa
+4.9,3.0,1.4,0.2,Iris-setosa
+4.7,3.2,1.3,0.2,Iris-setosa
+4.6,3.1,1.5,0.2,Iris-setosa
+5.0,3.6,1.4,0.2,Iris-setosa
+5.4,3.9,1.7,0.4,Iris-setosa
+4.6,3.4,1.4,0.3,Iris-setosa
+5.0,3.4,1.5,0.2,Iris-setosa
+4.4,2.9,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.4,3.7,1.5,0.2,Iris-setosa
+4.8,3.4,1.6,0.2,Iris-setosa
+4.8,3.0,1.4,0.1,Iris-setosa
+4.3,3.0,1.1,0.1,Iris-setosa
+5.8,4.0,1.2,0.2,Iris-setosa
+5.7,4.4,1.5,0.4,Iris-setosa
+5.4,3.9,1.3,0.4,Iris-setosa
+5.1,3.5,1.4,0.3,Iris-setosa
+5.7,3.8,1.7,0.3,Iris-setosa
+5.1,3.8,1.5,0.3,Iris-setosa
+5.4,3.4,1.7,0.2,Iris-setosa
+5.1,3.7,1.5,0.4,Iris-setosa
+4.6,3.6,1.0,0.2,Iris-setosa
+5.1,3.3,1.7,0.5,Iris-setosa
+4.8,3.4,1.9,0.2,Iris-setosa
+5.0,3.0,1.6,0.2,Iris-setosa
+5.0,3.4,1.6,0.4,Iris-setosa
+5.2,3.5,1.5,0.2,Iris-setosa
+5.2,3.4,1.4,0.2,Iris-setosa
+4.7,3.2,1.6,0.2,Iris-setosa
+4.8,3.1,1.6,0.2,Iris-setosa
+5.4,3.4,1.5,0.4,Iris-setosa
+5.2,4.1,1.5,0.1,Iris-setosa
+5.5,4.2,1.4,0.2,Iris-setosa
+4.9,3.1,1.5,0.1,Iris-setosa
+5.0,3.2,1.2,0.2,Iris-setosa
+5.5,3.5,1.3,0.2,Iris-setosa
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+4.4,3.0,1.3,0.2,Iris-setosa
+5.1,3.4,1.5,0.2,Iris-setosa
+5.0,3.5,1.3,0.3,Iris-setosa
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+5.0,3.5,1.6,0.6,Iris-setosa
+5.1,3.8,1.9,0.4,Iris-setosa
+4.8,3.0,1.4,0.3,Iris-setosa
+5.1,3.8,1.6,0.2,Iris-setosa
+4.6,3.2,1.4,0.2,Iris-setosa
+5.3,3.7,1.5,0.2,Iris-setosa
+5.0,3.3,1.4,0.2,Iris-setosa
+7.0,3.2,4.7,1.4,Iris-versicolor
+6.4,3.2,4.5,1.5,Iris-versicolor
+6.9,3.1,4.9,1.5,Iris-versicolor
+5.5,2.3,4.0,1.3,Iris-versicolor
+6.5,2.8,4.6,1.5,Iris-versicolor
+5.7,2.8,4.5,1.3,Iris-versicolor
+6.3,3.3,4.7,1.6,Iris-versicolor
+4.9,2.4,3.3,1.0,Iris-versicolor
+6.6,2.9,4.6,1.3,Iris-versicolor
+5.2,2.7,3.9,1.4,Iris-versicolor
+5.0,2.0,3.5,1.0,Iris-versicolor
+5.9,3.0,4.2,1.5,Iris-versicolor
+6.0,2.2,4.0,1.0,Iris-versicolor
+6.1,2.9,4.7,1.4,Iris-versicolor
+5.6,2.9,3.6,1.3,Iris-versicolor
+6.7,3.1,4.4,1.4,Iris-versicolor
+5.6,3.0,4.5,1.5,Iris-versicolor
+5.8,2.7,4.1,1.0,Iris-versicolor
+6.2,2.2,4.5,1.5,Iris-versicolor
+5.6,2.5,3.9,1.1,Iris-versicolor
+5.9,3.2,4.8,1.8,Iris-versicolor
+6.1,2.8,4.0,1.3,Iris-versicolor
+6.3,2.5,4.9,1.5,Iris-versicolor
+6.1,2.8,4.7,1.2,Iris-versicolor
+6.4,2.9,4.3,1.3,Iris-versicolor
+6.6,3.0,4.4,1.4,Iris-versicolor
+6.8,2.8,4.8,1.4,Iris-versicolor
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+5.7,2.9,4.2,1.3,Iris-versicolor
+6.2,2.9,4.3,1.3,Iris-versicolor
+5.1,2.5,3.0,1.1,Iris-versicolor
+5.7,2.8,4.1,1.3,Iris-versicolor
+6.3,3.3,6.0,2.5,Iris-virginica
+5.8,2.7,5.1,1.9,Iris-virginica
+7.1,3.0,5.9,2.1,Iris-virginica
+6.3,2.9,5.6,1.8,Iris-virginica
+6.5,3.0,5.8,2.2,Iris-virginica
+7.6,3.0,6.6,2.1,Iris-virginica
+4.9,2.5,4.5,1.7,Iris-virginica
+7.3,2.9,6.3,1.8,Iris-virginica
+6.7,2.5,5.8,1.8,Iris-virginica
+7.2,3.6,6.1,2.5,Iris-virginica
+6.5,3.2,5.1,2.0,Iris-virginica
+6.4,2.7,5.3,1.9,Iris-virginica
+6.8,3.0,5.5,2.1,Iris-virginica
+5.7,2.5,5.0,2.0,Iris-virginica
+5.8,2.8,5.1,2.4,Iris-virginica
+6.4,3.2,5.3,2.3,Iris-virginica
+6.5,3.0,5.5,1.8,Iris-virginica
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+7.7,2.6,6.9,2.3,Iris-virginica
+6.0,2.2,5.0,1.5,Iris-virginica
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\ No newline at end of file
diff --git a/apache-spark/model/logistic-regression/data/._SUCCESS.crc b/apache-spark/model/logistic-regression/data/._SUCCESS.crc
new file mode 100644
index 0000000000000000000000000000000000000000..3b7b044936a890cd8d651d349a752d819d71d22c
GIT binary patch
literal 8
PcmYc;N@ieSU}69O2$TUk

literal 0
HcmV?d00001

diff --git a/apache-spark/model/logistic-regression/data/.part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet.crc b/apache-spark/model/logistic-regression/data/.part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet.crc
new file mode 100644
index 0000000000000000000000000000000000000000..46311024cff2ce7756c0f80479f5268efd069597
GIT binary patch
literal 24
gcmYc;N@ieSU}Bj6=FX}-{<YOVbOWoNtmb+H0BvXrW&i*H

literal 0
HcmV?d00001

diff --git a/apache-spark/model/logistic-regression/data/_SUCCESS b/apache-spark/model/logistic-regression/data/_SUCCESS
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/apache-spark/model/logistic-regression/data/part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet b/apache-spark/model/logistic-regression/data/part-00000-f3a3ee61-f200-41ff-80d9-8e1edf399601-c000.snappy.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..07f442ef348c461b34c509f44426a7c178c573bf
GIT binary patch
literal 1789
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HcmV?d00001

diff --git a/apache-spark/model/logistic-regression/metadata/._SUCCESS.crc b/apache-spark/model/logistic-regression/metadata/._SUCCESS.crc
new file mode 100644
index 0000000000000000000000000000000000000000..3b7b044936a890cd8d651d349a752d819d71d22c
GIT binary patch
literal 8
PcmYc;N@ieSU}69O2$TUk

literal 0
HcmV?d00001

diff --git a/apache-spark/model/logistic-regression/metadata/.part-00000.crc b/apache-spark/model/logistic-regression/metadata/.part-00000.crc
new file mode 100644
index 0000000000000000000000000000000000000000..35d5043fbe50cfd216e38a72a4fddb6e26752296
GIT binary patch
literal 12
TcmYc;N@ieSU}CtDxLp<i6OIE&

literal 0
HcmV?d00001

diff --git a/apache-spark/model/logistic-regression/metadata/_SUCCESS b/apache-spark/model/logistic-regression/metadata/_SUCCESS
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/apache-spark/model/logistic-regression/metadata/part-00000 b/apache-spark/model/logistic-regression/metadata/part-00000
new file mode 100644
index 0000000000..e3f27fec10
--- /dev/null
+++ b/apache-spark/model/logistic-regression/metadata/part-00000
@@ -0,0 +1 @@
+{"class":"org.apache.spark.mllib.classification.LogisticRegressionModel","version":"1.0","numFeatures":4,"numClasses":3}
diff --git a/apache-spark/pom.xml b/apache-spark/pom.xml
index b8c1962dd4..3df81e5aee 100644
--- a/apache-spark/pom.xml
+++ b/apache-spark/pom.xml
@@ -1,31 +1,32 @@
-<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.baeldung</groupId>
-    <artifactId>apache-spark</artifactId>
-    <version>1.0-SNAPSHOT</version>
-    <name>apache-spark</name>
-    <packaging>jar</packaging>
-    <url>http://maven.apache.org</url>
+<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.baeldung</groupId>
+	<artifactId>apache-spark</artifactId>
+	<version>1.0-SNAPSHOT</version>
+	<name>apache-spark</name>
+	<packaging>jar</packaging>
+	<url>http://maven.apache.org</url>
 
-    <parent>
-        <groupId>com.baeldung</groupId>
-        <artifactId>parent-modules</artifactId>
-        <version>1.0.0-SNAPSHOT</version>
-    </parent>
+	<parent>
+		<groupId>com.baeldung</groupId>
+		<artifactId>parent-modules</artifactId>
+		<version>1.0.0-SNAPSHOT</version>
+	</parent>
 
-    <dependencies>
-        <dependency>
-            <groupId>org.apache.spark</groupId>
-            <artifactId>spark-core_2.11</artifactId>
-            <version>${org.apache.spark.spark-core.version}</version>
-            <scope>provided</scope>
-        </dependency>
+	<dependencies>
 		<dependency>
-    		<groupId>org.apache.spark</groupId>
-    		<artifactId>spark-sql_2.11</artifactId>
-    		<version>${org.apache.spark.spark-sql.version}</version>
-    		<scope>provided</scope>
+			<groupId>org.apache.spark</groupId>
+			<artifactId>spark-core_2.11</artifactId>
+			<version>${org.apache.spark.spark-core.version}</version>
+			<scope>provided</scope>
+		</dependency>
+		<dependency>
+			<groupId>org.apache.spark</groupId>
+			<artifactId>spark-sql_2.11</artifactId>
+			<version>${org.apache.spark.spark-sql.version}</version>
+			<scope>provided</scope>
 		</dependency>
 		<dependency>
 			<groupId>org.apache.spark</groupId>
@@ -33,6 +34,12 @@
 			<version>${org.apache.spark.spark-streaming.version}</version>
 			<scope>provided</scope>
 		</dependency>
+		<dependency>
+			<groupId>org.apache.spark</groupId>
+			<artifactId>spark-mllib_2.11</artifactId>
+			<version>${org.apache.spark.spark-mllib.version}</version>
+			<scope>provided</scope>
+		</dependency>
 		<dependency>
 			<groupId>org.apache.spark</groupId>
 			<artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
@@ -48,46 +55,47 @@
 			<artifactId>spark-cassandra-connector-java_2.11</artifactId>
 			<version>${com.datastax.spark.spark-cassandra-connector-java.version}</version>
 		</dependency>
-    </dependencies>
+	</dependencies>
 
 	<build>
-    	<plugins>
-    	  	<plugin>
-    			<groupId>org.apache.maven.plugins</groupId>
-    			<artifactId>maven-compiler-plugin</artifactId>
-    			<version>${maven-compiler-plugin.version}</version>
-    			<configuration>
-      				<source>${java.version}</source>
-      				<target>${java.version}</target>
-    			</configuration>
-  			</plugin>
-      		<plugin>
-        		<artifactId>maven-assembly-plugin</artifactId>
-        		<executions>
-          			<execution>
-            			<phase>package</phase>
-            			<goals>
-              				<goal>single</goal>
-            			</goals>
-          			</execution>
-        		</executions>
-        		<configuration>
-          			<descriptorRefs>
-            			<descriptorRef>jar-with-dependencies</descriptorRef>
-          			</descriptorRefs>
-        		</configuration>
-      		</plugin>
-   		</plugins>
-  	</build>
+		<plugins>
+			<plugin>
+				<groupId>org.apache.maven.plugins</groupId>
+				<artifactId>maven-compiler-plugin</artifactId>
+				<version>${maven-compiler-plugin.version}</version>
+				<configuration>
+					<source>${java.version}</source>
+					<target>${java.version}</target>
+				</configuration>
+			</plugin>
+			<plugin>
+				<artifactId>maven-assembly-plugin</artifactId>
+				<executions>
+					<execution>
+						<phase>package</phase>
+						<goals>
+							<goal>single</goal>
+						</goals>
+					</execution>
+				</executions>
+				<configuration>
+					<descriptorRefs>
+						<descriptorRef>jar-with-dependencies</descriptorRef>
+					</descriptorRefs>
+				</configuration>
+			</plugin>
+		</plugins>
+	</build>
 
-    <properties>
-        <org.apache.spark.spark-core.version>2.3.0</org.apache.spark.spark-core.version>
-        <org.apache.spark.spark-sql.version>2.3.0</org.apache.spark.spark-sql.version>
-        <org.apache.spark.spark-streaming.version>2.3.0</org.apache.spark.spark-streaming.version>
-        <org.apache.spark.spark-streaming-kafka.version>2.3.0</org.apache.spark.spark-streaming-kafka.version>
-        <com.datastax.spark.spark-cassandra-connector.version>2.3.0</com.datastax.spark.spark-cassandra-connector.version>
-        <com.datastax.spark.spark-cassandra-connector-java.version>1.5.2</com.datastax.spark.spark-cassandra-connector-java.version>
+	<properties>
+		<org.apache.spark.spark-core.version>2.3.0</org.apache.spark.spark-core.version>
+		<org.apache.spark.spark-sql.version>2.3.0</org.apache.spark.spark-sql.version>
+		<org.apache.spark.spark-streaming.version>2.3.0</org.apache.spark.spark-streaming.version>
+		<org.apache.spark.spark-mllib.version>2.3.0</org.apache.spark.spark-mllib.version>
+		<org.apache.spark.spark-streaming-kafka.version>2.3.0</org.apache.spark.spark-streaming-kafka.version>
+		<com.datastax.spark.spark-cassandra-connector.version>2.3.0</com.datastax.spark.spark-cassandra-connector.version>
+		<com.datastax.spark.spark-cassandra-connector-java.version>1.5.2</com.datastax.spark.spark-cassandra-connector-java.version>
 		<maven-compiler-plugin.version>3.2</maven-compiler-plugin.version>
-    </properties>
+	</properties>
 
 </project>
diff --git a/apache-spark/src/main/java/com/baeldung/ml/MachineLearningApp.java b/apache-spark/src/main/java/com/baeldung/ml/MachineLearningApp.java
new file mode 100644
index 0000000000..6094683031
--- /dev/null
+++ b/apache-spark/src/main/java/com/baeldung/ml/MachineLearningApp.java
@@ -0,0 +1,111 @@
+package com.baeldung.ml;
+
+import java.util.HashMap;
+import java.util.Map;
+
+import org.apache.log4j.Level;
+import org.apache.log4j.Logger;
+import org.apache.spark.SparkConf;
+import org.apache.spark.api.java.JavaPairRDD;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.mllib.classification.LogisticRegressionModel;
+import org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS;
+import org.apache.spark.mllib.evaluation.MulticlassMetrics;
+import org.apache.spark.mllib.linalg.Matrix;
+import org.apache.spark.mllib.linalg.Vector;
+import org.apache.spark.mllib.linalg.Vectors;
+import org.apache.spark.mllib.regression.LabeledPoint;
+import org.apache.spark.mllib.stat.MultivariateStatisticalSummary;
+import org.apache.spark.mllib.stat.Statistics;
+
+import scala.Tuple2;
+
+public class MachineLearningApp {
+
+    public static void main(String[] args) {
+
+        // 1. Setting the Spark Context
+        SparkConf conf = new SparkConf().setAppName("Main")
+            .setMaster("local[2]")
+            .set("spark.executor.memory", "3g")
+            .set("spark.driver.memory", "3g");
+        JavaSparkContext sc = new JavaSparkContext(conf);
+        Logger.getLogger("org")
+            .setLevel(Level.OFF);
+        Logger.getLogger("akka")
+            .setLevel(Level.OFF);
+
+        // 2. Loading the Data-set
+        String dataFile = "data\\iris.data";
+        JavaRDD<String> data = sc.textFile(dataFile);
+
+        // 3. Exploratory Data Analysis
+        // 3.1. Creating Vector of Input Data
+        JavaRDD<Vector> inputData = data.map(line -> {
+            String[] parts = line.split(",");
+            double[] v = new double[parts.length - 1];
+            for (int i = 0; i < parts.length - 1; i++) {
+                v[i] = Double.parseDouble(parts[i]);
+            }
+            return Vectors.dense(v);
+        });
+        // 3.2. Performing Statistical Analysis
+        MultivariateStatisticalSummary summary = Statistics.colStats(inputData.rdd());
+        System.out.println("Summary Mean:");
+        System.out.println(summary.mean());
+        System.out.println("Summary Variance:");
+        System.out.println(summary.variance());
+        System.out.println("Summary Non-zero:");
+        System.out.println(summary.numNonzeros());
+        // 3.3. Performing Correlation Analysis
+        Matrix correlMatrix = Statistics.corr(inputData.rdd(), "pearson");
+        System.out.println("Correlation Matrix:");
+        System.out.println(correlMatrix.toString());
+
+        // 4. Data Preparation
+        // 4.1. Creating Map for Textual Output Labels
+        Map<String, Integer> map = new HashMap<String, Integer>();
+        map.put("Iris-setosa", 0);
+        map.put("Iris-versicolor", 1);
+        map.put("Iris-virginica", 2);
+        // 4.2. Creating LabeledPoint of Input and Output Data
+        JavaRDD<LabeledPoint> parsedData = data.map(line -> {
+            String[] parts = line.split(",");
+            double[] v = new double[parts.length - 1];
+            for (int i = 0; i < parts.length - 1; i++) {
+                v[i] = Double.parseDouble(parts[i]);
+            }
+            return new LabeledPoint(map.get(parts[parts.length - 1]), Vectors.dense(v));
+        });
+
+        // 5. Data Splitting into 80% Training and 20% Test Sets
+        JavaRDD<LabeledPoint>[] splits = parsedData.randomSplit(new double[] { 0.8, 0.2 }, 11L);
+        JavaRDD<LabeledPoint> trainingData = splits[0].cache();
+        JavaRDD<LabeledPoint> testData = splits[1];
+
+        // 6. Modeling
+        // 6.1. Model Training
+        LogisticRegressionModel model = new LogisticRegressionWithLBFGS().setNumClasses(3)
+            .run(trainingData.rdd());
+        // 6.2. Model Evaluation
+        JavaPairRDD<Object, Object> predictionAndLabels = testData.mapToPair(p -> new Tuple2<>(model.predict(p.features()), p.label()));
+        MulticlassMetrics metrics = new MulticlassMetrics(predictionAndLabels.rdd());
+        double accuracy = metrics.accuracy();
+        System.out.println("Model Accuracy on Test Data: " + accuracy);
+
+        // 7. Model Saving and Loading
+        // 7.1. Model Saving
+        model.save(sc.sc(), "model\\logistic-regression");
+        // 7.2. Model Loading
+        LogisticRegressionModel sameModel = LogisticRegressionModel.load(sc.sc(), "model\\logistic-regression");
+        // 7.3. Prediction on New Data
+        Vector newData = Vectors.dense(new double[] { 1, 1, 1, 1 });
+        double prediction = sameModel.predict(newData);
+        System.out.println("Model Prediction on New Data = " + prediction);
+
+        // 8. Clean-up
+        sc.close();
+    }
+
+}