Create a PyTorch project with MLflow boilerplate.
Project description
mlflow_pytorch_exp
- Build the packege:
python setup.py sdist bdist_wheel
- Install package :
pip install dist/mlflow_pytorch_exp-0.0.1-py3-none-any.whl
- Create project
mlflow-pytorch-exp create <path/to/folder>```
example :
mlflow-pytorch-exp create my_project
mlflow_pytorch_exp
├── LICENSE
├── MANIFEST.in
├── mlflow_pytorch_exp
│ ├── __init__.py
│ ├── mlflow_pytorch_exp.py
│ └── templates
│ ├── checkpoints
│ ├── config
│ │ └── config.py
│ ├── data
│ ├── dataloader
│ │ └── dataset.py
│ ├── losses
│ │ └── loss.py
│ ├── metrics
│ │ └── metric.py
│ ├── models
│ │ └── model.py
│ ├── train.py
│ └── utils
│ └── utils.py
├── README.md
└── setup.py
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