bump rcf version to 4.1 (#406)

Signed-off-by: Kaituo Li <kaituo@amazon.com>

Author: kaituo

Java/README.md

@@ -157,7 +157,7 @@ vector data point, scores the data point, and then updates the model with this
 point. The program output appends a column of anomaly scores to the input:
 
 ```text
-$ java -cp core/target/randomcutforest-core-3.5.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner < ../example-data/rcf-paper.csv > example_output.csv
+$ java -cp core/target/randomcutforest-core-4.1.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner < ../example-data/rcf-paper.csv > example_output.csv
 $ tail example_output.csv
 -5.0029,0.0170,-0.0057,0.8129401629464965
 -4.9975,-0.0102,-0.0065,0.6591046054520615
@@ -176,8 +176,8 @@ read additional usage instructions, including options for setting model
 hyperparameters, using the `--help` flag:
 
 ```text
-$ java -cp core/target/randomcutforest-core-3.5.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner --help
-Usage: java -cp target/random-cut-forest-3.5.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner [options] < input_file > output_file
+$ java -cp core/target/randomcutforest-core-4.1.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner --help
+Usage: java -cp target/random-cut-forest-4.1.0.jar com.amazon.randomcutforest.runner.AnomalyScoreRunner [options] < input_file > output_file
 
 Compute scalar anomaly scores from the input rows and append them to the output rows.
 
@@ -239,14 +239,14 @@ framework. Build an executable jar containing the benchmark code by running
 To invoke the full benchmark suite:
 
 ```text
-% java -jar benchmark/target/randomcutforest-benchmark-3.5.0-jar-with-dependencies.jar
+% java -jar benchmark/target/randomcutforest-benchmark-4.1.0-jar-with-dependencies.jar
 ```
 
 The full benchmark suite takes a long time to run. You can also pass a regex at the command-line, then only matching
 benchmark methods will be executed.
 
 ```text
-% java -jar benchmark/target/randomcutforest-benchmark-3.5.0-jar-with-dependencies.jar RandomCutForestBenchmark\.updateAndGetAnomalyScore
+% java -jar benchmark/target/randomcutforest-benchmark-4.1.0-jar-with-dependencies.jar RandomCutForestBenchmark\.updateAndGetAnomalyScore
 ```
 
 [rcf-paper]: http://proceedings.mlr.press/v48/guha16.pdf

Java/benchmark/pom.xml

@@ -6,7 +6,7 @@
   <parent>
     <groupId>software.amazon.randomcutforest</groupId>
     <artifactId>randomcutforest-parent</artifactId>
-    <version>4.0.0</version>
+    <version>4.1.0</version>
   </parent>
 
   <artifactId>randomcutforest-benchmark</artifactId>

Java/core/pom.xml

@@ -6,7 +6,7 @@
   <parent>
     <groupId>software.amazon.randomcutforest</groupId>
     <artifactId>randomcutforest-parent</artifactId>
-    <version>4.0.0</version>
+    <version>4.1.0</version>
   </parent>
 
   <artifactId>randomcutforest-core</artifactId>

Java/core/src/main/java/com/amazon/randomcutforest/state/Version.java

@@ -24,4 +24,6 @@ public class Version {
     public static final String V3_8 = "3.8";
 
     public static final String V4_0 = "4.0";
+
+    public static final String V4_1 = "4.1";
 }

Java/core/src/main/java/com/amazon/randomcutforest/state/preprocessor/PreprocessorState.java

@@ -15,7 +15,7 @@
 
 package com.amazon.randomcutforest.state.preprocessor;
 
-import static com.amazon.randomcutforest.state.Version.V4_0;
+import static com.amazon.randomcutforest.state.Version.V4_1;
 
 import java.io.Serializable;
 
@@ -27,7 +27,7 @@
 public class PreprocessorState implements Serializable {
     private static final long serialVersionUID = 1L;
 
-    private String version = V4_0;
+    private String version = V4_1;
     private double useImputedFraction;
     private String imputationMethod;
     private String forestMode;

Java/examples/pom.xml

@@ -7,7 +7,7 @@
     <parent>
         <groupId>software.amazon.randomcutforest</groupId>
         <artifactId>randomcutforest-parent</artifactId>
-        <version>4.0.0</version>
+        <version>4.1.0</version>
     </parent>
 
     <artifactId>randomcutforest-examples</artifactId>

Java/parkservices/pom.xml

@@ -6,7 +6,7 @@
   <parent>
     <groupId>software.amazon.randomcutforest</groupId>
     <artifactId>randomcutforest-parent</artifactId>
-    <version>4.0.0</version>
+    <version>4.1.0</version>
   </parent>
 
   <artifactId>randomcutforest-parkservices</artifactId>

Java/pom.xml

@@ -4,7 +4,7 @@
 
     <groupId>software.amazon.randomcutforest</groupId>
     <artifactId>randomcutforest-parent</artifactId>
-    <version>4.0.0</version>
+    <version>4.1.0</version>
     <packaging>pom</packaging>
 
     <name>software.amazon.randomcutforest:randomcutforest</name>

Java/serialization/pom.xml

@@ -7,7 +7,7 @@
     <parent>
         <groupId>software.amazon.randomcutforest</groupId>
         <artifactId>randomcutforest-parent</artifactId>
-        <version>4.0.0</version>
+        <version>4.1.0</version>
     </parent>
 
     <artifactId>randomcutforest-serialization</artifactId>

Java/testutils/pom.xml

@@ -4,7 +4,7 @@
   <parent>
     <artifactId>randomcutforest-parent</artifactId>
     <groupId>software.amazon.randomcutforest</groupId>
-    <version>4.0.0</version>
+    <version>4.1.0</version>
   </parent>
 
   <artifactId>randomcutforest-testutils</artifactId>