Metadata-Version: 2.1
Name: meta-learn
Version: 0.2.0
Summary: Collection and utilization of metadata from machine learning models and problems.
Home-page: https://github.com/SimonBlanke/Meta-Learn
Author: Simon Blanke
Author-email: simon.blanke@yahoo.com
License: MIT
Keywords: machine learning,deep learning,optimization,data-science
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.5
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy <2.0.0,>=1.18.1
Requires-Dist: tqdm <5.0.0,>=4.48.0
Requires-Dist: pandas <2.0.0
Requires-Dist: scikit-learn
Requires-Dist: category-encoders
Requires-Dist: fastapi
Requires-Dist: uvicorn

<h1 align="center">
Meta-Learn
</h1>

<br>

<h2 align="center">Collection and utilization of meta data from machine learning models and problems.</h3>

<br>

Collect and use meta-data of machine learning datasets to reduce search time for hyperparameter. Meta-Learn collects data about model- and dataset-properties to train a regressor (the score of the model being the target).


## Installation
```console
pip install meta-learn
```
