Metadata-Version: 2.1
Name: pyskoptimize
Version: 0.1.2
Summary: A configuration driven approach to facilitating Bayesian Hyperparameter Tuning
Home-page: https://www.pyscale.net/PySkOptimize/
License: Apache-2.0
Keywords: python,data science,low-code,software development
Author: ed-turner
Author-email: edward.turner@pyscale.net
Requires-Python: >=3.9,<3.11
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Code Generators
Requires-Dist: pandas (>=1.4.2,<2.0.0)
Requires-Dist: pydantic (>=1.9.0,<2.0.0)
Requires-Dist: scikit-learn (>=1.0.2,<2.0.0)
Requires-Dist: scikit-optimize (>=0.9.0,<0.10.0)
Requires-Dist: scipy (>=1.8.0,<2.0.0)
Project-URL: Repository, https://github.com/pyscale/PySkOptimize
Description-Content-Type: text/markdown

# PySkOptimize

## Installation

## Developer Contribution

To install from local development, run the following commands in order:

    1. make init
    2. make install

To add any new packages, follow the poetry requirements and add
unit tests



