OpenSTARLab PreProcessing package
Introduction
The OpenSTARLab PreProcessing package is a core component for the OpenSTARLab suite, providing essential data preprocessing functions. It is designed with minimal dependencies and aims to avoid those that are heavily version-dependent.
This package is continuously evolving to support future OpenSTARLab projects. If you have any suggestions or encounter any bugs, please feel free to open an issue.
Installation
- To install this package via PyPI
pip install openstarlab-preprocessing
- To install manually
git clone git@github.com:open-starlab/PreProcessing.git
cd ./PreProcessing
pip install -e .
Current Features
Sports
Event Data
SAR (State-Action-Reward) Data
Space Data
Phase Data
RoadMap
- Release the package
- Incorporate more functions
Developer
Calvin Yeung 💻 |
Kenjiro Ide 💻 |
Zheng Chen 💻 |
Kento Kuroda 💻 |
Shunsuke Iwashita 💻 |
Keisuke Fujii 🧑💻 |
Metadata
Release files for openstarlab-preprocessing 0.1.57
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| openstarlab_preprocessing-0.1.57.tar.gz | 167.7 kB | Without provenance | Details for openstarlab_preprocessing-0.1.57.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| openstarlab_preprocessing-0.1.57-py3-none-any.whl | Python 3 | none | any | Details for openstarlab_preprocessing-0.1.57-py3-none-any.whl |
Total release size: 368.3 kB
Release files / openstarlab_preprocessing-0.1.57.tar.gz
| Download URL | openstarlab_preprocessing-0.1.57.tar.gz |
|---|---|
| Size | 167.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.8.20
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Release files / openstarlab_preprocessing-0.1.57-py3-none-any.whl
| Download URL | openstarlab_preprocessing-0.1.57-py3-none-any.whl |
|---|---|
| Size | 200.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.20
|
Security for openstarlab-preprocessing 0.1.57
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