Skip to main content

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

Project description

dragon-ml-toolbox

A collection of Python utilities for data science and machine learning, structured as a modular package for easy reuse and installation. This package has no base dependencies, allowing for lightweight and customized virtual environments.

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+

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

Modular Installation

📦 Core Machine Learning Toolbox [ML]

Installs a comprehensive set of tools for typical data science workflows, including data manipulation, modeling, and evaluation. PyTorch is required.

pip install "dragon-ml-toolbox[ML]"

To install the standard CPU-only versions of Torch and Torchvision:

pip install "dragon-ml-toolbox[pytorch]"

⚠️ To make use of GPU acceleration (highly recommended), follow the official instructions: PyTorch website

Modules:

custom_logger
data_exploration
ensemble_evaluation
ensemble_inference
ensemble_learning
ETL_cleaning
ETL_engineering
ML_callbacks
ML_datasetmaster
ML_evaluation_multi
ML_evaluation
ML_inference
ML_models
ML_optimization
ML_scaler
ML_trainer
optimization_tools
path_manager
PSO_optimization
RNN_forecast
SQL
utilities

🔬 MICE Imputation and Variance Inflation Factor [mice]

⚠️ Important: This group has strict version requirements. It is highly recommended to install this group in a separate virtual environment.

pip install "dragon-ml-toolbox[mice]"

Modules:

custom_logger
MICE_imputation
VIF_factor
path_manager
utilities

📋 Excel File Handling [excel]

Installs dependencies required to process and handle .xlsx or .xls files.

pip install "dragon-ml-toolbox[excel]"

Modules:

custom_logger
handle_excel
path_manager

🎰 GUI for Boosting Algorithms (XGBoost, LightGBM) [gui-boost]

For GUIs that include plotting functionality, you must also install the [plot] extra.

pip install "dragon-ml-toolbox[gui-boost]"
pip install "dragon-ml-toolbox[gui-boost,plot]"

Modules:

custom_logger
GUI_tools
ensemble_inference
path_manager

🤖 GUI for PyTorch Models [gui-torch]

For GUIs that include plotting functionality, you must also install the [plot] extra.

pip install "dragon-ml-toolbox[gui-torch]"
pip install "dragon-ml-toolbox[gui-torch,plot]"

Modules:

custom_logger
GUI_tools
ML_models
ML_inference
ML_scaler
path_manager

⚒️ APP bundlers

Choose one if needed.

pip install "dragon-ml-toolbox[pyinstaller]"
pip install "dragon-ml-toolbox[nuitka]"

Usage

After installation, import modules like this:

from ml_tools.utilities import serialize_object, deserialize_object
from ml_tools import custom_logger

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dragon_ml_toolbox-10.13.0.tar.gz (127.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dragon_ml_toolbox-10.13.0-py3-none-any.whl (143.8 kB view details)

Uploaded Python 3

File details

Details for the file dragon_ml_toolbox-10.13.0.tar.gz.

File metadata

  • Download URL: dragon_ml_toolbox-10.13.0.tar.gz
  • Upload date:
  • Size: 127.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for dragon_ml_toolbox-10.13.0.tar.gz
Algorithm Hash digest
SHA256 265432ef94eb4ae3b272eb8c8bc64e08c906c7fe9b203f51fd1bc1a579e3a1fc
MD5 6983024a1ec3d45b522516f83abdaa88
BLAKE2b-256 21fab4edcdd35441104bd23b28a603f0041b480a1392148468eafd414818d3fd

See more details on using hashes here.

File details

Details for the file dragon_ml_toolbox-10.13.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dragon_ml_toolbox-10.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 108297867b854f97a0022c5928a68d92526e3069c932875a298ce704a14f4423
MD5 821b8bca0ef3c8b86e3f1eeaa9f2ceee
BLAKE2b-256 ee8e1182ee7846c8f0fe767f2cc734c08bc3f9dfd70a2133356b0b18513f7abd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page