How to Setup Weka Machine Learning on Windows in Azure/AWS/GCP
To install Weka Machine Learning on Windows Server and run on any of the cloud platforms, the best way is to deploy the readily available images in the cloud marketplaces. The images come pre loaded with Weka machine learning open source with the required Java requirements running on Windows server. Check the links below to deploy to your cloud environment.
Weka Machine Learning on Windows Cloud
Setup Weka Machine Learning on Azure
Setup Weka Machine Learning on AWS
Setup Weka Machine Learning on GCP
Table of Contents
Weka Machine Learning on Windows Features
Weka is data mining software that uses a collection of machine learning algorithms, which are applied directly to the data or called from the Java code.
Weka is a collection of tools for:
- Regression
- Clustering
- Association
- Data pre-processing
- Classification
- Visualisation.
Getting Started with Weka on Windows
Once you have deployed Weka on Windows server, the first step is to RDP into the new instance once it has fully booted up. The following links explain how to connect the VM once it has finished being deployed:
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- How to RDP to AWS Windows Instance
- How to RDP to Google GCP Windows Instance
- How to RDP to Azure Windows Virtual Machine
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Once logged in, you’re now ready to start setting up your new server as per the following sections.
Using Weka
Once logged in, you’re ready to start using Weka. The following link is the official documentation on using Weka
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Weka Firewall Ports
If you need to open any firewall ports on your VM, the following links explain how to create them:
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To setup AWS firewall rules refer to – AWS Security Groups
To setup Azure firewall rules refer to – Azure Network Security Groups
To setup Google GCP firewall rules refer to – Creating GCP Firewalls
Support
If you require any help with the installation leave a comment below or contact us directly
Do the OS images come with WekaDeeplearning4j already setup and ready to run on GPU?
Hi Charles,
Yes our images on GCP support GPU. This is what you need to do.
1) Deploy a VM using the Weka image
2) Edit the VM to support GPU – The following guide explains how –
https://cloud.google.com/compute/docs/gpus/add-remove-gpus
Hope that helps
Thanks
Andrew
Thanks, I’ll check it out.