Metadata-Version: 2.4
Name: gds-psuu
Version: 0.2.0
Summary: Parameter space search under uncertainty for the GDS ecosystem
Project-URL: Homepage, https://github.com/BlockScience/gds-core
Project-URL: Repository, https://github.com/BlockScience/gds-core
Project-URL: Documentation, https://blockscience.github.io/gds-core
Author-email: Rohan Mehta <rohan@block.science>
License-Expression: Apache-2.0
Keywords: gds-framework,generalized-dynamical-systems,monte-carlo,optimization,parameter-search
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Typing :: Typed
Requires-Python: >=3.12
Requires-Dist: gds-sim>=0.1.0
Requires-Dist: pydantic>=2.10
Provides-Extra: bayesian
Requires-Dist: optuna>=4.0; extra == 'bayesian'
Provides-Extra: pandas
Requires-Dist: pandas>=2.0; extra == 'pandas'
Description-Content-Type: text/markdown

# gds-psuu

Parameter space search under uncertainty for the GDS ecosystem.

Built on top of [gds-sim](https://github.com/BlockScience/gds-core), `gds-psuu` provides a search engine for intelligently exploring simulation parameter spaces to optimize KPIs.
