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ML Bricks

A package for reusing functions that repeat during machine learning and data science related works

Tests

pypi

Install from Pypi

pip install ml_bricks

Local install

git clone https://github.com/jerinka/ml_bricks
pip3 install -e ml_bricks

Test and Coverage

coverage run --source=ml_bricks/ -m pytest -v test/ && coverage report -m
coverage html -d coverage_html

build

pip install wheel
python setup.py sdist bdist_wheel

testpypi

twine upload --repository testpypi dist/*
pip install -i https://test.pypi.org/simple/ ml_bricks

pypi

twine upload dist/*
pip install -U ml_bricks

Quick usage

import ml_bricks as pk1
pk1.subpackage1.moduleA.fun_a()

Reference

https://medium.com/@joel.barmettler/how-to-upload-your-python-package-to-pypi-65edc5fe9c56

Metadata

Release files for ml-bricks 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ml-bricks 0.0.3
File Size Uploaded
ml_bricks-0.0.3.tar.gz 7.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ml-bricks 0.0.3
File Interpreter ABI Platform
ml_bricks-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 15.0 kB

Release files / ml_bricks-0.0.3.tar.gz

Download URL ml_bricks-0.0.3.tar.gz
Size 7.2 kB
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Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

Release files / ml_bricks-0.0.3-py3-none-any.whl

Download URL ml_bricks-0.0.3-py3-none-any.whl
Size 7.8 kB
Tags Python 3
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What is trusted publishing?
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Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

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This release

0.0.3 This release

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0.0.2

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0.0.1

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