. . . . . "python" . . "3.9.15.final.0" . . "None" . "hyper_params" . . "None" . "model" . . "str" . "out1" . . "None" . "path" . . "None" . "sample_data" . . "None" . "scores" . "@is_fairstep(label='Save a model')\ndef save(\n model,\n path,\n sample_data,\n scores = None,\n hyper_params = None,\n # model: Any,\n # path: str,\n # sample_data: Any,\n # scores: Optional[Dict] = None,\n # hyper_params: Optional[Dict] = None,\n) -> str:\n model_name = path.rsplit('/', 1)[-1]\n # print(os.path.isabs(path))\n # if not os.path.isabs(path):\n # path = os.path.join(os.getcwd(), path)\n log.info(f\"💾 Saving model in {path}\")\n\n # mlem_model = MlemModel.from_obj(model, sample_data=sample_data)\n # mlem_model.dump(path)\n # print(mlem_model)\n mlem.save(model, path, sample_data=sample_data)\n\n g = get_run_metadata(scores, sample_data, hyper_params, model_name)\n g.serialize(f\"{path}.ttl\", format='ttl')\n # os.chmod(f\"{path}.ttl\", 0o644)\n # os.chmod(f\"{path}.mlem\", 0o644)\n\n # TODO: generate and store RDF metadata\n return path\n" . . . . . . . . . . "Save a model" . "2022-12-21T14:45:49.429190"^^ . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAlKZel+uM9w+JiWuhs0NHtaXdRrGkGAjvnnLFQL2nmgZDGIjX+is2YJBd6R2kBkr67lYiUDWdtih0F0yqUlAW5GdYUihk1MBiWyLe4RNt7I5iC/5wwK/i5vV6/YKa6Zwf4oymwChpdXddlKc6d73StgFqOafQPeNeBUHTZbkmUKFAqGXf0nAclB23DEeN5qVl6XRa1qqtL91AKW+UxTvlZR3pFNFn8xKTfbOSgmuAkYSUwJrp84rNI92qXYtOJ12oH0oT/enzcThxcfPLomGc9BMd+QBCj08LdrtuAArHzcivMKDzreDCD+haZ/GdObRWHpQ5O4bEWIx3dZVQq7t0KQIDAQAB" . "jdXc4GcMwibIqhbM/lLe6MmCRWY7z9xR5og+xu1Q67upDrhm1JwVBVJfAQbppyNzBMNCEv01EFwcz0cWEqzrltvXIDxnrk8GLe9dw4BmUH9XSguCI+q19XQPDNpTTAxSpKu7VgvsqwOVPZ90GDfXEp5sajMtdalfV5GPLJDynqYvf0u7OdaH6IP7D/DnBIkddE9pyNX7IgZ49XGnja9+VF8d/6i8G39NT1BYiaNyou06QaqaUfKDncmgU5vK6RPNYLrPnigboWDNF6ACCttDXpQ0KHodHIH7E9BO8SmpnacrjMqrA7pnbggBepfMNNmvg5SMx7aAwDXMB7XBXyfU5g==" . . .