Metadata-Version: 2.1
Name: mindfoundry-optaas-client
Version: 1.4.0
Summary: Mind Foundry Optimization as a Service: Python Client
Home-page: https://mindfoundry.ai/optaas
Author: Mind Foundry Ltd
Author-email: optaas@mindfoundry.ai
License: MIT License
Keywords: bayesian optimization,bayesian,optimization,machine learning,machine-learning,hyperparameter,hyper-parameters,model selection,model-selection
Platform: Any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests
Requires-Dist: holoviews (<1.13)
Requires-Dist: sympy
Provides-Extra: sklearn
Requires-Dist: scikit-learn ; extra == 'sklearn'

# Mind Foundry OPTaaS Python Client

[![pypi-version](https://img.shields.io/pypi/v/mindfoundry-optaas-client.svg)](https://pypi.python.org/pypi/mindfoundry-optaas-client)
[![license](https://img.shields.io/pypi/l/mindfoundry-optaas-client.svg)](https://pypi.python.org/pypi/mindfoundry-optaas-client)
[![docs-sphinx](https://img.shields.io/badge/docs-sphinx-green.svg)](https://demo.optimize.mindfoundry.ai/static/client_docs/index.html)
[![tutorials-binder](https://img.shields.io/badge/tutorials-binder-ff69b4.svg)](https://tutorial.optaas.mindfoundry.ai)

[OPTaaS](https://mindfoundry.ai/optaas) (Optimization as a Service) is a general-purpose Bayesian optimizer developed
by [Mind Foundry](https://mindfoundry.ai) which provides optimal hyper-parameter configurations via web-services.
It can handle any parameter type and does not need to know the underlying process, models, or data.

This Python client makes it easier to interact with the web service and integrate with other Python libraries such as
[scikit-learn](http://scikit-learn.org).


