Java uses Mahout random number generator

Maven coordinates of dependent class libraries: <dependency> <groupId>org.apache.mahout</groupId> <artifactId>mahout-math</artifactId> <version>0.13.0</version> </dependency> Mahout is a machine learning library based on Apache Hadoop, which provides some common machine learning algorithms and tools, including random number generators. Mahout's random number generator class library is' org. apache. mahout. path. random. RandomAdapter '. It is an adapter class that wraps Java's native' java. util. Random 'class into Mahout's random number generator. The specific information of the dependent dataset is not clear. You can generate a sample dataset by using the random number generator. The following is an example of Java code generated by Mahout random number generator and printed: import org.apache.mahout.math.random.RandomAdaptor; public class RandomGeneratorExample { public static void main(String[] args) { //Create a Mahout random number generator RandomAdaptor random = new RandomAdaptor(); //Generate random numbers and print them out for (int i = 0; i < 10; i++) { double randomValue = random.nextDouble(); System.out.println(randomValue); } } } Running the above code will generate 10 random numbers and print them out. Summary: This article introduces the basic steps of using Mahout random number generator in Java. Firstly, we need to add Maven coordinates for Mahout path dependencies. Then, we generate random numbers by creating a RandomAdapter object, and on top of this object, we call the nextDouble() method to obtain the random numbers. Finally, we can handle these random numbers according to actual needs. Mahout's random number generator provides a convenient way to generate random numbers and can be extended as needed.