mvshmakov / example-mlem-frozen-0.1.7

To be used only by automatic tests, see https://github.com/iterative/example-mlem if you are a human

Getting Started

This is Getting Started example to showcase MLEM usage.

Repo has three branches:

• main: produced by dvc repro, models artifacts are stored with DVC
• small-forest: we make an experiment with dvc exp on the main branch and create this branch
• no-dvc: produced by bash run.sh, this branch has model artifacts pushed straight to Git

You can examine run.sh for pipeline commands or run dvc repro on dvc.yaml, which has the same outcome as run.sh, except that with dvc repro artifacts are stored with DVC.

If you want to reproduce the example from clean state, remove data/, .mlem/ and scores.json first.

Installation

1. Fork / Clone this repository

git clone [email protected]:iterative/example-mlem.git
cd example-mlem

2. Create virtual environment named venv

python3 -m venv venv
source venv/bin/activate

Install python libraries

pip install --upgrade pip setuptools wheel
pip install -r requirements.txt

3. Run

dvc repro

or:

chmod +x run.sh
./run.sh