Introduction to MLflow

This repository is part of Kainos Data & AI Engineering Academy training.

Set Up

Create virtual environment

conda create --name mlflow python=3.8 pip -y
conda activate mlflow

Install dependencies

pip install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
.github/workflows		.github/workflows
data		data
images		images
kainos_sklearn		kainos_sklearn
.gitignore		.gitignore
.gitpod.yml		.gitpod.yml
.pre-commit-config.yaml		.pre-commit-config.yaml
01_ml_complexities.ipynb		01_ml_complexities.ipynb
02_mlflow_intro.ipynb		02_mlflow_intro.ipynb
03_mlflow_setup.ipynb		03_mlflow_setup.ipynb
04_mlflow_example.ipynb		04_mlflow_example.ipynb
README.md		README.md
_quarto.yml		_quarto.yml
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt
style.css		style.css