MATLAB TO JAVA App. (Big Data & Machine learning)
Overview :
let say if you want to have a JAVA application able to train a Machine Learning Model from your historical data and to predict the result of new data, how do you to implement the application started from MATLAB?
In this example, it demostartes how I implement my MATLAB scripts (Use of Tall Array to handle big data, Training of Machine Learning Model, and Prediction of New result) to JAVA application.
Highlights :
Machine Learning and Prediction
Handling the MATLAB GUI in Java Development platform (Eclipse)
Handling big data by tall array
Compile MATLAB script/function to Jar. file
Call MATLAB compiled jar.file in eclipse
Product Focus :
MATLAB
MATLAB Compiler SDK
Statistics and Machine Learning Toolbox
Eclipse (Third-party Software)
Final Product :
(It uses around 50 seconds for training)
Citation pour cette source
Kevin Chng (2024). MATLAB TO JAVA App. (Big Data & Machine learning) (https://www.mathworks.com/matlabcentral/fileexchange/70084-matlab-to-java-app-big-data-machine-learning), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Application Deployment > MATLAB Compiler SDK > Enterprise Deployment with MATLAB Production Server >
- AI and Statistics > Statistics and Machine Learning Toolbox > Analysis of Big Data with Tall Arrays >
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MATLAB_To_JAVA
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 |