lecrapaud 0.1.0

Framework for machine and deep learning, with regression, classification and time series analysis

Stock

Overview

Project description

Quick Start

1. Create environment

$ pip install virtualenv
$ python -m venv .venv
$ source .venv/bin/activate

2. Install dependencies

$ pip install -r requirements.txt
$ pip freeze > requirements.txt

3. Deactivate virtualenv (if needed)

$ deactivate

Reminders for Github usage

1. Creating Github repository

$ brew install gh
$ gh auth login
$ gh repo create

2. Initializing git and first commit to distant repository

$ git init
$ git add .
$ git commit -m 'first commit'
$ git remote add origin <YOUR_REPO_URL>
$ git push -u origin master

3. use conventional commits https://www.conventionalcommits.org/en/v1.0.0/#summary

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Pierre Gallet © 2024