Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Streamline your probabilistic programming with PyMC3 on Amazon Linux 2023 Operating Systems, conveniently re-packaged by Apps4Rent for seamless integration on the AWS Marketplace. This powerful offering pairs the flexibility of PyMC3, a popular open-source Bayesian statistical modeling library, with the stability of Amazon Linux 2023 Operating Systems. Ensure the smooth development of your Bayesian models with confidence, while leveraging the familiarity and security of a well-established environment.
Focus on innovation, not on complex probabilistic scripts. PyMC3 empowers you to perform Bayesian inference efficiently, allowing you to model, analyze data, and make predictions effectively with your team. Build a robust foundation for your data-driven applications with the combined strengths of PyMC3 and Amazon Linux. Experience the ease of deployment with Apps4Rent's pre-configured PyMC3 server on the AWS Marketplace. Eliminate the complexities of manual installations and configurations, allowing you to focus on what matters most - managing your data with confidence. Effortlessly scale your resources as your data needs grow. The flexible nature of AWS empowers you to seamlessly adjust your Apps4Rent PyMC3 server configuration to accommodate even the most demanding projects.
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 the initial launch.
Highlights
- Seamless Integration and Stability: PyMC3, a robust open-source Bayesian statistical modeling library, is seamlessly integrated with Amazon Linux 2023 Operating Systems. This integration ensures users benefit from PyMC3's flexibility for probabilistic programming alongside the reliability and security of Amazon Linux 2023.
- Effortless Deployment and Configuration: Apps4Rent offers a pre-configured PyMC3 server on the AWS Marketplace, which simplifies the deployment process by eliminating the need for manual installations and configurations. This allows users to immediately focus on their core activities, such as data analysis and model development.
- Scalability and Flexibility for Growing Data Needs: The scalable nature of AWS allows users to effortlessly adjust their PyMC3 server configurations as their data needs grow, ensuring the system can handle even the most demanding Bayesian modeling projects.
Details
Typical total price
$0.112/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.10 | $0.02 | $0.12 |
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier Recommended | $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 |
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 |
t3.medium | $0.10 | $0.042 | $0.142 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come 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
Connect to your Linux instance via port no. 22 using SSH.
Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ec2-user
This software does not store any sensitive customer information. This software does not require any type of data encryption configuration. programmatic system credentials and cryptographic keys are not required for this product. Dependencies version check: Python : Python 3.9.16 Pip3 : pip 21.3.1 Pymc3 : pymc3 3.11.5
Firstly, become a superuser: sudo su
Navigate to root directory: cd /root
It is best practice to update and upgrade the machine:
sudo yum update -y sudo yum upgrade -y
Command to enter python environment: source pymc3_env/bin/activate source pymc3_env/bin/activate
To verify installations of Pymc3 : pip3 show pymc3 Pymc3 version: 3.11.5
To verify pymc3 installation inside python3 follow below commands: import pymc3 print(pymc3.version)
Command to exit python environment: deactivate
*Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save from termination in future.
Support
Vendor 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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