Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Weka is a popular open-source machine learning software suite designed for data mining, predictive modeling, and visualization. With Weka on Amazon Linux 5.10, users can easily run machine learning experiments and deploy models on Amazon Web Services (AWS) with minimal setup time and effort.
This offering includes the latest stable version of Weka pre-installed on an Amazon Linux 5.10 AMI. Weka provides a wide range of machine learning algorithms, including decision trees, random forests, gradient boosting, support vector machines, and more. It also includes tools for data preprocessing, feature selection, and visualization.
This AMI is optimized for performance and reliability on AWS, with full support for EC2 instances, EBS volumes, and other AWS services. Users can easily launch an instance of Weka on Amazon Linux 5.10 in the AWS Marketplace, configure it to their specifications, and begin running machine learning experiments right away.
Whether you are a data scientist, researcher, or developer, Weka on Amazon Linux 5.10 makes it easy to get started with machine learning on AWS. Try it out today and start exploring the exciting world of data science.
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable.
Image may take up to 5-7 minutes for initial launch.
Highlights
- Weka can be used with various programming languages such as Java, Python, and R. The Java API provides a comprehensive set of classes and methods for building and evaluating machine learning models. Weka has an active community of users and developers who provide support, documentation, and updates.
- Weka supports a wide range of machine learning algorithms for classification, regression, clustering, and association rule mining. Weka supports a wide range of machine learning algorithms for classification, regression, clustering, and association rule mining.
- Weka provides a comprehensive set of tools for data preprocessing, including data cleaning, attribute selection, and feature extraction. Weka supports various data formats including CSV, ARFF, and JSON.
Details
Typical total price
$0.196/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t2.xlarge | $0.10 | $0.186 | $0.286 |
t2.2xlarge | $0.10 | $0.371 | $0.471 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open source licenses.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
*For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ec2-user
Following are the steps to verify weka installation on this machine:
Locate to the Weka directory: cd weka-3-8-6
To start Weka in CLI mode, type the following command and hit Enter:
"java -classpath weka.jar weka.classifiers.trees.J48"
(This command will run the J48 decision tree algorithm on the default dataset provided by Weka.)
If Weka CLI starts without any errors, it means that you have successfully launched Weka in CLI mode.
To run the Weka help command in CLI mode, you can use the following command:
"java -cp weka.jar weka.gui.GUIChooser -h"
Alternatively, you can use the following command to display the Weka help information in text format:
"java -cp weka.jar weka.core.WekaPackageManager -h"
Dependencies Version
Java: java-1.8.0-openjdk-"17.0.6"
Below are the minimum external resources subscriber needs to have to use this product:
An Internet Connection is required in order for this product to function as expected.
We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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