Metadata-Version: 2.1
Name: simba_ml
Version: 1.0.0a2
Summary: Simulation-Based Machine Learning
Author: Maximilian Kleissl, Björn Heyder, Julian Zabbarov, Lukas Drews
Author-email: maximilian.kleissl@student.hpi.de,bjoern.heyder@student.hpi.de,julian.zabbarov@student.hpi.de,lukas.drews@student.hpi.de
Project-URL: Bug Tracker, https://gitlab.hpi.de/mpws2022br1/simba_ml/issues
Project-URL: Source Code, https://gitlab.hpi.de/mpws2022br1/simba_ml/
Keywords: python,machine learning,simulation,ordinary differential equations,ode,simba,simba-ml
Description-Content-Type: text/markdown

[![pipeline status](https://gitlab.hpi.de/mpws2022br1/challenge-accepted/badges/main/pipeline.svg)](https://gitlab.hpi.de/mpws2022br1/challenge-accepted/-/commits/main)
[![coverage report](https://gitlab.hpi.de/mpws2022br1/challenge-accepted/badges/main/coverage.svg)](https://gitlab.hpi.de/mpws2022br1/challenge-accepted/-/commits/main)
[![latest build]https://badgen.net/badge/Build/latest/blue)](https://gitlab.hpi.de/mpws2022br1/challenge-accepted/-/jobs/artifacts/main/browse/dist?job=build)

SimbaML is an all-in-one solution for your simulation and prediction needs, providing a flexible platform to extend with custom models, metrics, and ODEs, and supporting a wide range of pipeline and experiment types to meet your unique requirements.

# Installation
```
pip install simba_ml
```

# Documentation
Comming soon!
