dragon-ml-toolbox 2.2.1

A collection of tools for data science and machine learning projects

dragon-ml-tools

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-tools

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Note: This version is outdated or broken due to dependency incompatibilities.

Optional dependencies

PyTorch, which provides different builds 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-tools[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
handle_excel
logger
MICE_imputation
PSO_optimization
trainer
utilities
VIF_factor
vision_helpers