mina-moto / ayniy

Ayniy, All You Need is YAML

Ayniy, All You Need is YAML

Ayniy is a supporting tool for machine learning competitions.

Documentation | Slide (Japanese)

# Import packages
from sklearn.model_selection import StratifiedKFold
import yaml

from ayniy.model.runner import Runner

# Load configs
f = open('configs/run000.yml', 'r+')
configs = yaml.load(f, Loader=yaml.SafeLoader)

# Difine CV strategy as you like
cv = StratifiedKFold(n_splits=5, shuffle=True, random_state=7)

# Modeling
runner = Runner(configs, cv)
runner.run_train_cv()
runner.run_predict_cv()
runner.submission()

Examples

Competition Name	Score (Rank)	Repository
Titanic: Machine Learning from Disaster	0.76555 (-)	Link
Basketball Behavior Challenge BBC2020	0.871700 (1)	Link
ひろしまQuest2020#stayhome【アイデア部門】	-	Link

Environment

docker-compose -d --build
docker exec -it ayniy-test bash

MLflow

cd experiments
mlflow ui

Test

# pytest
pytest tests/ --cov=. --cov-report=html
# black
black . --line-length 99 --exclude="docs"
# flake8
flake8 .
# mypy
mypy .

Docs

In container,

cd docs
make html

Out of container,

sh deploy.sh

https://github.com/upura/ayniy-docs