dragon-ml-toolbox 3.10.1

A collection of tools for data science and machine learning projects.

dragon-ml-toolbox

A collection of Python utilities for data science and machine learning, structured as a modular package for easy reuse and installation.

Features

• Modular scripts for data exploration, logging, machine learning, and more.
• Designed for seamless integration as a Git submodule or installable Python package.

Installation

Python 3.10+ recommended.

Via PyPI

Install the latest stable release from PyPI:

pip install dragon-ml-toolbox

Via GitHub (Editable)

Clone the repository and install in editable mode with optional dependencies:

git clone https://github.com/DrAg0n-BoRn/ML_tools.git
cd ML_tools
pip install -e .

Via conda-forge

Install from the conda-forge channel:

conda install -c conda-forge dragon-ml-toolbox

Note: This version is outdated or broken due to dependency incompatibilities. Use PyPi instead.

Optional dependencies

FreeSimpleGUI

Wrapper library used to build powerful GUIs. Requires the tkinter backend.

pip install dragon-ml-toolbox[gui]

PyTorch

Different builds available depending on the platform and hardware acceleration (e.g., CUDA for NVIDIA GPUs on Linux/Windows, or MPS for Apple Silicon on macOS).

Install the default CPU-only version with

pip install dragon-ml-toolbox[pytorch]

To make use of GPU acceleration use the official PyTorch installation instructions:

PyTorch Instructions

Usage

After installation, import modules like this:

from ml_tools.utilities import sanitize_filename
from ml_tools.logger import custom_logger

Available modules

data_exploration
datasetmaster
ensemble_learning
ETL_engineering
GUI_tools
handle_excel
logger
MICE_imputation
ML_callbacks
ML_evaluation
ML_trainer
ML_tutorial
path_manager
PSO_optimization
RNN_forecast
utilities
VIF_factor