Skip to main content

Simple Machine Learning Tool Kit package

Project description

smltk (Simple Machine Learning Tool Kit) package is implemented for helping your work during

  • data preparation

  • testing your model

The goal is to implement this package for each step of machine learning process that can simplify your code.

It is part of the educational repositories to learn how to write stardard code and common uses of the TDD.

Installation

If you want to use this package into your code, you can install by python3-pip:

pip3 install smltk
python3
>>> from smltk.metrics import Metrics
>>> help(Metrics)

The package is not self-consistent. So if you want to contribute, you have to download the package by github and to install the requirements

git clone https://github.com/bilardi/smltk
cd smltk/
pip3 install --upgrade -r requirements.txt

Read the documentation on readthedocs for

  • API

  • Usage

  • Development

Change Log

See CHANGELOG.md for details.

License

This package is released under the MIT license. See LICENSE for details.

Project details


Download files

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

Source Distribution

smltk-2.2.8.tar.gz (17.1 kB view details)

Uploaded Source

Built Distribution

smltk-2.2.8-py3-none-any.whl (18.5 kB view details)

Uploaded Python 3

File details

Details for the file smltk-2.2.8.tar.gz.

File metadata

  • Download URL: smltk-2.2.8.tar.gz
  • Upload date:
  • Size: 17.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for smltk-2.2.8.tar.gz
Algorithm Hash digest
SHA256 41b417d746fe1bec732cff8af4a5a895ab7d1053e918051dbac8f26c55267d0b
MD5 9428e7ebc783c378aa7b893d9ae2c1eb
BLAKE2b-256 be232f2daa36dbf28f55efd39334c8ef76a12a3c96ff86a04d630d0b42d14176

See more details on using hashes here.

File details

Details for the file smltk-2.2.8-py3-none-any.whl.

File metadata

  • Download URL: smltk-2.2.8-py3-none-any.whl
  • Upload date:
  • Size: 18.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for smltk-2.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c1da5ed5aad752fd0aae3a5000193473e4826a1ee7ec87cdb9ac8c79b8bbd096
MD5 470bff64ec3e13b6dfa3b165717841be
BLAKE2b-256 3f83ca14bbf2b63c3861ac2c880e7e3d057e1988b502d951ae807918b2767b50

See more details on using hashes here.

Supported by

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