Sold by: bCloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. FLAML is an open-source AutoML library developed by Microsoft that automatically selects the best machine learning model and tunes its hyperparameters with minimal human effort. It is designed to be fast, lightweight, and cost-efficient, making it suitable for real-world applications with limited computational resources. FLAML supports classification, regression, and time-series forecasting tasks and can work with libraries like scikit-learn, LightGBM, XGBoost, and others.
Overview
This is a repackaged open source software product wherein additional charges apply for support. FLAML (Fast Lightweight AutoML) is a machine learning library created by Microsoft to simplify and speed up the process of building machine learning models. Traditional machine learning requires manual steps such as feature selection, model selection, and hyperparameter tuning, which can be time-consuming and require expertise. FLAML automates these tasks using efficient search strategies and smart optimization techniques.
It focuses on reducing both computation cost and time while maintaining high model accuracy. FLAML is especially useful for developers and data scientists who want quick baseline models or production-ready solutions without spending too much time on tuning.
FLAML works by intelligently exploring different models and parameter combinations using a cost-effective search strategy. It supports multiple ML frameworks like Scikit-learn, LightGBM, XGBoost, CatBoost, and more. It also supports early stopping to avoid unnecessary computation.
Highlights
- Very fast and lightweight AutoML framework
- Automates model selection and hyperparameter tuning
- Optimized for low computation cost
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.06 |
t3.micro | $0.06 |
t2.micro | $0.01 |
t3.small | $0.06 |
c5.large | $0.06 |
c4.large | $0.06 |
m3.medium | $0.06 |
c3.large | $0.06 |
m3.large | $0.06 |
t2.xlarge | $0.06 |
Vendor refund policy
No refund
Legal
Vendor terms and conditions
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Content disclaimer
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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
Packaged with latest updates as of April/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #cd /opt/flaml_project #source flaml-env/bin/activate #python -c "import flaml; print(flaml.version)"
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai Website:
AWS infrastructure support
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