Metadata-Version: 2.1
Name: GridSearchHelper
Version: 0.6.0
Summary: Advanced hyperparameter tuning using grid search for ML models
Home-page: https://github.com/alimovabdulla/GridSearchHelper
Author: Abdulla Alimov
Author-email: abdullaalimov555@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/alimovabdulla/GridSearchHelper/
Project-URL: Documentation, https://github.com/alimovabdulla/GridSearchHelper/
Keywords: machine-learning grid-search hyperparameter-tuning scikit-learn
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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

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# GridSearchHelper

GridSearchHelper is a Python library designed to simplify hyperparameter tuning using Grid Search. It allows for automatic parameter grid generation and performs efficient grid search for machine learning models. 

## Installation

You can install GridSearchHelper from PyPI:

```bash
pip install GridSearchHelper
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# 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 https://github.com/alimovabdulla/GridSearchHelper.git
>>>>>>> 27a8174 (Updated project with new features)


