. . . . . . . . . . . . . "python" . . "3.9.15.final.0" . "@is_fairworkflow(label='My model training workflow')\ndef training_workflow(n_jobs: int):\n\n # Define models hyper params\n hyper_params = {\n 'n_jobs': n_jobs,\n 'random_state': 42\n }\n\n data = load_data()\n y = load_data_y()\n\n # Train model (here we use a stub dataset just to make the example clear)\n model = fit_classifier(hyper_params, data, y)\n\n # Evaluate the model using your own metrics\n scores = evaluate(model)\n\n # Save the model generated to the models/ folder\n path = save(\n model,\n \"models/my_model\",\n sample_data=data,\n scores=scores,\n hyper_params=hyper_params,\n )\n return path\n # Optionally you can save other files (dataframes, JSON objects) in the data/ folder\n" . . . "My model training workflow" . . . . . . . . . . . "2022-12-21T15:19:26.775938"^^ . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAlKZel+uM9w+JiWuhs0NHtaXdRrGkGAjvnnLFQL2nmgZDGIjX+is2YJBd6R2kBkr67lYiUDWdtih0F0yqUlAW5GdYUihk1MBiWyLe4RNt7I5iC/5wwK/i5vV6/YKa6Zwf4oymwChpdXddlKc6d73StgFqOafQPeNeBUHTZbkmUKFAqGXf0nAclB23DEeN5qVl6XRa1qqtL91AKW+UxTvlZR3pFNFn8xKTfbOSgmuAkYSUwJrp84rNI92qXYtOJ12oH0oT/enzcThxcfPLomGc9BMd+QBCj08LdrtuAArHzcivMKDzreDCD+haZ/GdObRWHpQ5O4bEWIx3dZVQq7t0KQIDAQAB" . "EnRqp00Il+Amp7yAZYpFGeH479eXNH/12zeziCzJQ4AuQzdx8Td5Q6BYsyc35LTPnEPsF9fSbdsOT+RhMk3cpvVJpShNQDgw+GYiM/GDdJjleiN1Zfwtxk50fq7INVund+nvQzni5HgHhfPMFN0ZAbawO969XV0HSLyInjB5KPZipg3QEq5ayMTM53B9zHcimphmGFpz6rDweF8R2AN9VnvAk1rLwMGGscqgJGFfPElTd6w8WP84obQ7/8/OU4553O/eJqm8bNAX1HXOQnwyee4gJB8nQBNVEO3zj3SleFcwH6q73j4aJRUzxCreAyCcFRS5WqRqzL6+9QpOrdsKyw==" . . .