Usage

🚀 Creating an ML pipeline¶

💻 Via code¶

See the Python files in the provided examples.

📄 Using JSON¶

Run typer exe_kg_lib.cli.main run create-pipeline <json_path> after replacing <json_path> to point to a pipeline's JSON file. See the provided example JSONs

🗒️ Note: Replace input_data_path with the path to a dataset and output_plots_dir with the directory path where the plots will be saved.

🖥️ Step-by-step via CLI¶

Run typer exe_kg_lib.cli.main run create-pipeline.

🚀 Editing an ML pipeline¶

💻 Via code¶

See the provided sample script.

🚀 Executing an ML pipeline¶

💻 Via code¶

See example code.

🖥️ Via CLI¶

Run typer exe_kg_lib.cli.main run run-pipeline <pipeline_path>. The pipeline_path can either be a .ttl or .json file.