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CLI to turn DS scripts to composable pipelines.

Project description

mlopscli 🚀

A CLI tool to turn DS Python scripts + YAML config into an executable ML pipeline.

Usage

  1. Write your scripts (data_prep.py, train_model.py, evaluate_model.py)
  2. Define them in a job_order.yaml with the dependencies.
  3. Install the mlops cli : pip install mlopscli
  4. Run the command: mlopscli execute --job prepare_train_pipeline --job_config job_order.yaml

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