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 3.12

Via PyPI

Install the latest stable release from PyPI:

pip install dragon-ml-toolbox

Via conda-forge

Install from the conda-forge channel:

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

Via GitHub (Editable)

Clone the repository and install in editable mode:

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

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]"

⚠️ PyTorch required, follow the official instructions: PyTorch website

Modules:

constants
custom_logger
data_exploration
ensemble_evaluation
ensemble_inference
ensemble_learning
ETL_cleaning
ETL_engineering
math_utilities
ML_callbacks
ML_datasetmaster
ML_evaluation_multi
ML_evaluation
ML_inference
ML_models
ML_optimization
ML_scaler
ML_trainer
ML_utilities
optimization_tools
path_manager
PSO_optimization
RNN_forecast
serde
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:

constants
custom_logger
math_utilities
MICE_imputation
serde
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:

constants
custom_logger
handle_excel
path_manager

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

GUI tools compatible with XGBoost and LightGBM models used for inference.

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

Modules:

constants
custom_logger
GUI_tools
ensemble_inference
path_manager
serde

🤖 GUI for PyTorch Models [gui-torch]

GUI tools compatible with PyTorch models used for inference.

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

Modules:

constants
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.serde 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-13.5.0.tar.gz (146.8 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-13.5.0-py3-none-any.whl (165.9 kB view details)

Uploaded Python 3

File details

Details for the file dragon_ml_toolbox-13.5.0.tar.gz.

File metadata

  • Download URL: dragon_ml_toolbox-13.5.0.tar.gz
  • Upload date:
  • Size: 146.8 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-13.5.0.tar.gz
Algorithm Hash digest
SHA256 2bbca088ce07d1fa01c1bb4069a3be9930bb2e3d5abd25dc51bcb03a15541ab6
MD5 839f5fe82ecea392734876d6105af8eb
BLAKE2b-256 b7af2d0402292a0317c45502beb77907b4c9201fd773eb33d8a4d22a277c158d

See more details on using hashes here.

File details

Details for the file dragon_ml_toolbox-13.5.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dragon_ml_toolbox-13.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0596e690eca7b4feb759e18d8ce6af8eaffcad42c2d64ceaac1ad6c536a28fd9
MD5 adc1c29dc97d48ad7a0191f2fa30fc05
BLAKE2b-256 17ea31f1bae2f197b89ac3950ff5e6c7b07a452cb64918271631e3b4fc0456cb

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