Java Library for Machine Learning download

JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java.

Please be noted that JML has been replaced by LAML.

Features

A general framework for users to implement machine learning tools
Well documented source code
Friendly API, very easy to use
Easy code conversion from MATLAB to Java
Implementation of classification, clustering, manifold learning, general-purpose optimization algorithms, dimensionality reduction algorithms, sequence labeling, etc.
Complete separation between feature engineering and model training

Project Activity

See All Activity >

Follow Java Library for Machine Learning

Java Library for Machine Learning Web Site

Other Useful Business Software

Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Java Library for Machine Learning!

Additional Project Details

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2013-03-07

Similar Business Software

Vertex AI

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery...

See Software
Fraud.net

Fraudnet's AI-driven platform empowers enterprises to prevent threats, streamline compliance, and manage risk in real-time. Our sophisticated machine learning models continuously learn from billions of transactions to identify anomalies and predict fraud attacks. Our unified solutions:...

See Software
TensorFlow

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and...

See Software
MLflow

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to...

See Software
Launchable

You can have the best developers in the world, but every test is making them slower. 80% of your software tests are pointless. The problem is you don't know which 80%. We find the right 20% using your data so that you can ship faster. We have shrink-wrapped predictive test selection, a machine...

See Software
Google Cloud BigQuery

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely...

See Software