Skip to main content

A collection of tools for data science and machine learning projects

Project description

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 3.9+ recommended.

Via PyPI

Install the latest stable release from PyPI:

pip install dragon-ml-tools

Via conda-forge

Install from the conda-forge channel:

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

Optional dependencies

pip install dragon-ml-tools[pytorch]

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 .

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
particle_swarm_optimization
trainer
utilities
VIF_factor
vision_helpers

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-1.4.4.tar.gz (50.8 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-1.4.4-py3-none-any.whl (56.9 kB view details)

Uploaded Python 3

File details

Details for the file dragon_ml_toolbox-1.4.4.tar.gz.

File metadata

  • Download URL: dragon_ml_toolbox-1.4.4.tar.gz
  • Upload date:
  • Size: 50.8 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-1.4.4.tar.gz
Algorithm Hash digest
SHA256 d8eddf93d7a648cae92077df0f654d0416a407a0041782ce67f3ece4e19b1c9d
MD5 4ad0ab9b9ab558c546e979c8d5cd3696
BLAKE2b-256 33b9e0a866c5bbadf58eaf149c85c0e8a55e0867bae6f391058a40706c9f4fec

See more details on using hashes here.

File details

Details for the file dragon_ml_toolbox-1.4.4-py3-none-any.whl.

File metadata

File hashes

Hashes for dragon_ml_toolbox-1.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 07a3a7cbde5075d43fec4cf6fbff33b2f1bf97f86b2b3db18f3cf9b68685aefa
MD5 c3f3a992daf5b74ad306af2cf27e966f
BLAKE2b-256 817cbeb2cbd4b18d3845bc781a6d081ce508426ca713a6e788997e660d7eeffc

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