Metadata-Version: 2.2
Name: GridSearchHelper
Version: 0.2.0
Summary: A library for hyperparameter tuning using grid search for machine learning models.
Home-page: https://github.com/username/ModelTuner
Author: Abdulla Alimov
Author-email: abdullaalimov555@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
License-File: LICENCE.txt
Requires-Dist: scikit-learn>=0.24.0
Requires-Dist: numpy>=1.19.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Hyperparameter Tuning for Classifiers

This project implements a hyperparameter tuning utility for multiple classifiers using `GridSearchCV` from `sklearn`. The supported classifiers include Random Forest, Gradient Boosting, AdaBoost, SVM, K-Nearest Neighbors, Logistic Regression, Decision Trees, Naive Bayes, MLP, and more.

## Features
- Grid search for hyperparameter optimization on a variety of models.
- Support for additional custom parameters.
- Cross-validation (CV) support for model evaluation.
- Parallel processing for faster results.

## Setup
1. Clone this repository:
   ```bash
   git clone <repository_url>
