Metadata-Version: 2.1
Name: damakye-lda
Version: 0.1.0
Summary: A Python package for Linear Discriminant Analysis (LDA)
Home-page: https://github.com/DanielAgyekumAmakyeGh/damakye_lda
Author: Daniel Agyekum Amakye 
Author-email: your.janetobosuayaa@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

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# damakye_lda

# damakye_lda

`damakye_lda` is a Python package designed to perform Linear Discriminant Analysis (LDA) on datasets and display the resulting classification report and LDA analysis details. This package is built to help with analyzing datasets through dimensionality reduction and classification using LDA.

## Features

- Load datasets from CSV files.
- Perform Linear Discriminant Analysis (LDA) on a given dataset.
- Display classification reports with precision, recall, and F1-score metrics.
- Provide LDA analysis details such as mean vectors, explained variance ratios, and coefficients.

## Installation

You can install `damakye_lda` using pip. First, clone this repository or download the package, and then run the following command in the terminal:


pip install -e .
624f040 (Add .gitignore to exclude unnecessary files)
