.dvc | ||
.idea | ||
stare_zadania | ||
.dvcignore | ||
.gitignore | ||
data_test.csv | ||
deepl.py | ||
Dockerfile | ||
dvc.Jenkinsfile | ||
dvc.yaml | ||
environment.yml | ||
evaluation.Jenkinsfile | ||
evaluation.py | ||
Jenkinsfile | ||
MLProject | ||
predict_other.py | ||
predict.Jenkinsfile | ||
README.md | ||
real-or-fake-fake-jobposting-prediction.zip.dvc | ||
requirements.txt |
Run with docker
docker build -t ium .
docker run -e KAGGLE_USERNAME='your_kaggle_username' -e KAGGLE_KEY='<your_kaggle_key>' -e CUTOFF='1600' -it ium:latest
Read models results:
docker run -e KAGGLE_USERNAME='your_kaggle_username' -e KAGGLE_KEY='<your_kaggle_key>' -e CUTOFF='1600' -it ium:latest /bin/bash
python3 deepl.py
cat model_resutls.txt