lightmorphic 0.0.1

Lightmorphic signatures analysis toolkit (LSAT)

Spatiotemporal lightmorphic computing

The Python implementation of the Spatiotemporal lightmorphic computing for Carpathian roads (2021) and it’s continuation Lightmorphic Signatures Analysis Toolkit (2022).

In addition to providing a core functionality, the software package enables specific optimizations with its modular and customizable design.

With the provided mathematical functions, LSAT validates the nonlinearity encountered in the data conversion process while ensuring suitability of the forecasting algorithms.

Attribution

If you use this software for your research, please also cite Damian (2021). The BibTeX entry for the paper is::

@ARTICLE{10.4108/eai.27-4-2021.169422,

author={Dumitru Damian}, title={Spatiotemporal lightmorphic computing for Carpathian roads}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={7}, number={23}, publisher={EAI}, journal_a={CASA}, year={2021}, month={4}, keywords={Carpathians, BH1750, framework, patterns, lightmorphic, Arduino, Spatiotemporal}, doi={10.4108/eai.27-4-2021.169422}}

and also: Damian (2022). The BibTeX entry for the paper is:

@misc{damian2022lightmorphic,
      title={Lightmorphic Signatures Analysis Toolkit},
      author={D. Damian},
      year={2022},
      eprint={2301.00281},
      archivePrefix={arXiv},
      primaryClass={cs.LG}}

Installation

In a command window, check your installed Python and pip versions. For Unix systems:

python3 --version
python3 -m pip --version

For Windows systems:

py --version
py -m pip --version

If everything checks, type:

pip install lightmorphic

or, only for selected users, without writing access to the global site-packages directory:

pip install --user lightmorphic

Usage Example

To be added.