sketchml 0.0.2

Customized and Simplified package for Core Supervised Learning Algorithms

sketchml: Customized and Simplified package for Core Machine Learning Algorithms

Installation

Create and activate a Python environment, then install the required dependencies.

conda create -n sketchml python=3.10 -y
conda activate sketchml
pip install -r requirements.txt

Or install directly via pip:

pip install sketchml

Note that this package requires Python 3.8 or higher, but it is recommended to use Python 3.10 or higher for the best compatibility and performance.

Usage

The main function to evaluate a Pentagon Copying Test (PCT) image is eval_pct. Below is an example of how to use it:

from sketchml.classif.knn import KNN

knn = KNN(input_dimension="<insert_dimension>", k=3)

• OUTPUT_DIR: Directory where the results will be saved.
• IMG_SHAPE: Tuple specifying the desired image shape (height, width).
• fpath: File path to the PCT image to be evaluated.

License

This project is released under the MIT License. See the LICENSE file for details.

Contact

For questions or feedback, feel free to open an issue on the GitHub repository: https://github.com/htdgv/sketchml/issues