Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
MLflow is a solution to many of these issues in this dynamic landscape, offering tools and simplifying processes to streamline the ML lifecycle and foster collaboration among ML practitioners. Whether you are an individual researcher, a member of a large team, or somewhere in between, MLflow provides a unified platform to navigate the intricate maze of model development, deployment, and management. MLflow aims to enable innovation in ML solution development by streamlining otherwise cumbersome logging, organization, and lineage concerns that are unique to model development. This focus allows you to ensure that your ML projects are robust, transparent, and ready for real-world challenges.
Jupyter Notebooks are a community standard for communicating and performing interactive computing. They are a document that blends computations, outputs, explanatory text, mathematics, images, and rich media representations of objects. It is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative. It supports over 40 programming languages, including Python, R, Julia, and Scala. It is a popular tool among data scientists, researchers, and educators for interactive computing and data analysis.
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
- Apps4Rent provides MLflow and Jupyter Notebook on Ubuntu 22.04 which is ready to use for Production Environment.
- The usage charges for this product are USD 0.1/hour.
Details
Typical total price
$0.146/hour
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 | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium Recommended | $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 |
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 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
MLflow: https://mlflow.org/releases/2.11.3
Jupyter Notebook: https://github.com/jupyter/notebook/releases/tag/v7.1.2
Additional details
Usage instructions
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: ubuntu
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.
To check the installation of the MLflow and Jupyter Notebook:
- Update the instance with, sudo apt-get update
- Activate the virtual environment created to install MLflow and Jupyter Notebook using: source myenv/bin/activate
- To check the version of the MLflow installed run: pip show mlflow
- To check the version of the Jupyter Notebook installed run: pip show notebook
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 it 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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