GridSearchHelper 0.2.0

A library for hyperparameter tuning using grid search for machine learning models.

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:

   git clone <repository_url>