ARM-software/mango
A parallel hyperparameter optimization library for machine learning models using Bayesian optimization and Gaussian processes.
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Mango is a Python library for parallel hyperparameter tuning of machine learning classifiers. It employs Bayesian optimization with Gaussian processes to efficiently explore continuous, discrete, and categorical search spaces. The library supports scheduling objective functions across local machines, clusters, and cloud infrastructure including Kubernetes deployments, with built-in failure detection for scalability in production environments.
Frequently asked
- What is ARM-software/mango?
- A parallel hyperparameter optimization library for machine learning models using Bayesian optimization and Gaussian processes.
- Is mango open source?
- Yes — ARM-software/mango is open source, released under the Apache-2.0 license.
- What language is mango written in?
- ARM-software/mango is primarily written in Jupyter Notebook.
- How popular is mango?
- ARM-software/mango has 418 stars on GitHub.
- Where can I find mango?
- ARM-software/mango is on GitHub at https://github.com/ARM-software/mango.