sassoftware / python-sasctl

Python package and CLI for user-friendly integration with SAS Viya
https://sassoftware.github.io/python-sasctl
Apache License 2.0
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ValueError when attempting to register scikit-learn model #200

Open jyanchuck opened 1 month ago

jyanchuck commented 1 month ago

Describe the issue When I attempt to register a scitkit-learn model in Jupyter Lab in Viya Workbench, I experience the following error: "ValueError: Please provide all possible values for the target variable, including a no-event value." Examining the stack trace, the issue is with the target_value property of the object returned when running get_model_info (called within register_models). For a binary classifier model, the register_model expects the target_value property to return 0 (non-event value) and 1 (event value), but it is only returning a 1 (event value). Looking at utils/model_info.py, this is intentional for a binary classifier model for the target_value property to only return the event. However, this is causing the register_model function to complete with errors.

To Reproduce Python notebook has been attached. Error occurs when register_model function is called. RiskModelWorkbenchLendingClubFinal-simplified.zip

Expected behavior I expect the register_model function to complete without errors and successfully register this scikit-learn model in the Model Manager repository in the specified project in the target environment.

Stack Trace ValueError Traceback (most recent call last) Cell In[34], line 3 1 model_name="SK_LogisticRegression" 2 project="Test" ----> 3 register_model(model_sklg, model_name, X=X_train, project=project, force=True)

File /workspaces/workspace/.user-python-packages/lib/python3.11/site-packages/sasctl/tasks.py:494, in register_model(model, name, project, repository, X, version, files, force, record_packages, modeler, input) 483 model_obj = _register_sas_model( 484 model, 485 name, (...) 490 version=version, 491 ) 493 elif not isinstance(model, dict): --> 494 model_obj = _register_open_source_model( 495 model, name, project, X=X, modeler=modeler or current_session().username 496 ) 497 else: 498 project = _create_project(project, model, repo_obj)

File /workspaces/workspace/.user-python-packages/lib/python3.11/site-packages/sasctl/tasks.py:221, in _register_open_source_model(model, name, project, X, modeler) 219 output_vars = JSONFiles().write_var_json(info.y, is_input=False) 220 metadata = JSONFiles().write_file_metadata_json(model_prefix=name) --> 221 properties = JSONFiles().write_model_properties_json( 222 model_name=name, 223 model_desc=info.description, 224 model_algorithm=info.algorithm, 225 modeler=modeler, 226 target_variable=info.target_column, 227 target_values=info.target_values, 228 ) 230 # requirements = JSONFiles().create_requirements_json(model) 232 pzmm_files.update(serialized_model)

File /workspaces/workspace/.user-python-packages/lib/python3.11/site-packages/sasctl/pzmm/write_json_files.py:389, in JSONFiles.write_model_properties_json(cls, model_name, target_variable, target_values, json_path, model_desc, model_algorithm, model_function, modeler, train_table, properties) 381 properties.append( 382 { 383 "name": "multiclass_proba_variables", (...) 386 } 387 ) 388 else: --> 389 raise ValueError( 390 "Please provide all possible values for the target variable, including" 391 " a no-event value." 392 ) 394 truncated_properties = [] 395 for prop in properties:

ValueError: Please provide all possible values for the target variable, including a no-event value.

Version sasctl 1.10.6