Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.scriptrun = azureml.core.script_run:ScriptRun._from_run_dto with exception (cryptography 37.0.4 (/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages), Requirement.parse('cryptography<39,>=38.0.0'), {'pyopenssl'}). Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.PipelineRun = azureml.pipeline.core.run:PipelineRun._from_dto with exception (cryptography 37.0.4 (/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages), Requirement.parse('cryptography<39,>=38.0.0'), {'pyopenssl'}). Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.ReusedStepRun = azureml.pipeline.core.run:StepRun._from_reused_dto with exception (cryptography 37.0.4 (/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages), Requirement.parse('cryptography<39,>=38.0.0'), {'pyopenssl'}). Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.StepRun = azureml.pipeline.core.run:StepRun._from_dto with exception (cryptography 37.0.4 (/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages), Requirement.parse('cryptography<39,>=38.0.0'), {'pyopenssl'}). Session_id = 1cb87e41-bfca-44ba-a14e-1731356a110f Invoking module by urldecode_invoker 0.0.8. Module type: custom module. Using runpy to invoke module 'azureml.designer.modules.recommendation.dnn.wide_and_deep.score.run'. 2023-01-15 12:14:57,227 studio.common INFO azureml-designer-recommender-modules 0.0.55 2023-01-15 12:14:57,291 studio.azureml.designer.core.model.generic_model DEBUG MODEL_FOLDER: ['_meta.yaml', '_samples.json', '_schema.json', 'conda_env.yaml', 'model', 'model_spec.yaml', 'score.py'] 2023-01-15 12:14:57,294 studio.azureml.designer.core.model.generic_model INFO Successfully loaded /mnt/azureml/cr/j/ca6a6c541dec4fe3931b73cdadea0cf9/cap/data-capability/wd/INPUT_Trained_Wide_and_Deep_recommendation_model/model_spec.yaml 2023-01-15 12:14:57,295 studio.azureml.designer.core.model.generic_model INFO core_model_class = 2023-01-15 12:14:57,295 studio.azureml.designer.core.model.generic_model INFO Trying to load core_model from /mnt/azureml/cr/j/ca6a6c541dec4fe3931b73cdadea0cf9/cap/data-capability/wd/INPUT_Trained_Wide_and_Deep_recommendation_model/model. 2023-01-15 12:14:57,589 studio.module INFO Init unrated items recommendation scorer. 2023-01-15 12:14:57,596 studio.core INFO preprocess_transactions - Start: 2023-01-15 12:14:57,603 studio.core INFO preprocess_transactions - End with 0.0074s elapsed. 2023-01-15 12:14:57,603 studio.core INFO preprocess_features - Start: 2023-01-15 12:14:57,608 studio.core INFO preprocess_features - End with 0.0049s elapsed. 2023-01-15 12:14:57,608 studio.core INFO preprocess_features - Start: 2023-01-15 12:14:57,613 studio.core INFO preprocess_features - End with 0.0048s elapsed. 2023-01-15 12:14:57,613 studio.core INFO preprocess_transactions - Start: 2023-01-15 12:14:57,624 studio.core INFO preprocess_transactions - End with 0.0104s elapsed. 2023-01-15 12:14:57,628 studio.core INFO Update features for users - Start: 2023-01-15 12:14:57,628 studio.common INFO | Check features compatibility with existing feature metas 2023-01-15 12:14:57,630 studio.common INFO | Found 4 features to update 2023-01-15 12:14:57,643 studio.common INFO | Updated features have 138 rows, and fixed id vocab has 138 rows. 2023-01-15 12:14:57,643 studio.core INFO Update features for users - End with 0.0153s elapsed. 2023-01-15 12:14:57,643 studio.core INFO Update features for items - Start: 2023-01-15 12:14:57,643 studio.common INFO | Check features compatibility with existing feature metas 2023-01-15 12:14:57,644 studio.common INFO | Found 3 features to update 2023-01-15 12:14:57,655 studio.common INFO | Updated features have 130 rows, and fixed id vocab has 130 rows. 2023-01-15 12:14:57,655 studio.core INFO Update features for items - End with 0.0112s elapsed. 2023-01-15 12:14:57,655 studio.common DEBUG Init recommendation input function builder. 2023-01-15 12:14:57,655 studio.common INFO Build 4 features for User ids. 2023-01-15 12:14:57,661 studio.common INFO Process null values for features. 2023-01-15 12:14:57,665 studio.common INFO Build 3 features for Item ids. 2023-01-15 12:14:57,671 studio.common INFO Process null values for features. 2023-01-15 12:14:57,673 studio.error INFO Set error info in module statistics 2023-01-15 12:14:57,673 studio.core INFO Logging exception information of module execution - Start: 2023-01-15 12:14:57,674 studio.error INFO | Session_id = 1cb87e41-bfca-44ba-a14e-1731356a110f 2023-01-15 12:14:57,674 studio.core INFO | ModuleStatistics.log_stack_trace_telemetry - Start: 2023-01-15 12:14:57,855 studio.core INFO | ModuleStatistics.log_stack_trace_telemetry - End with 0.1814s elapsed. 2023-01-15 12:14:57,856 studio.error ERROR | Get library exception when invoking main Traceback (most recent call last): File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/studio/internal/error_handler.py", line 94, in wrapper return func(*args, **kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/run.py", line 10, in main ScoreWideAndDeepRecommenderModule().run(**kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/common/entry_utils.py", line 44, in wrapper return func(obj, **kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/score_wide_and_deep_recommender.py", line 141, in run scorer = scorer_class( File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/wide_and_deep_scorers.py", line 268, in __init__ self.predictions_buffer = pd.DataFrame({}, columns=[USER_COLUMN, ITEM_COLUMN, SCORED_RATING]) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/frame.py", line 435, in __init__ mgr = init_dict(data, index, columns, dtype=dtype) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/internals/construction.py", line 239, in init_dict val = construct_1d_arraylike_from_scalar(np.nan, len(index), nan_dtype) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/dtypes/cast.py", line 1440, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' 2023-01-15 12:14:57,856 studio.core INFO Logging exception information of module execution - End with 0.1829s elapsed. Cleaning up all outstanding Run operations, waiting 300.0 seconds 2 items cleaning up... Cleanup took 0.14503955841064453 seconds Traceback (most recent call last): File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/studio/internal/error_handler.py", line 94, in wrapper return func(*args, **kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/run.py", line 10, in main ScoreWideAndDeepRecommenderModule().run(**kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/common/entry_utils.py", line 44, in wrapper return func(obj, **kwargs) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/score_wide_and_deep_recommender.py", line 141, in run scorer = scorer_class( File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/wide_and_deep_scorers.py", line 268, in __init__ self.predictions_buffer = pd.DataFrame({}, columns=[USER_COLUMN, ITEM_COLUMN, SCORED_RATING]) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/frame.py", line 435, in __init__ mgr = init_dict(data, index, columns, dtype=dtype) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/internals/construction.py", line 239, in init_dict val = construct_1d_arraylike_from_scalar(np.nan, len(index), nan_dtype) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/pandas/core/dtypes/cast.py", line 1440, in construct_1d_arraylike_from_scalar dtype = dtype.dtype AttributeError: type object 'object' has no attribute 'dtype' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/designer/modules/recommendation/dnn/wide_and_deep/score/run.py", line 14, in main() File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/studio/internal/error_handler.py", line 108, in wrapper self._handle_exception(e, func.__name__) File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/studio/internal/error_handler.py", line 144, in _handle_exception ErrorMapping.rethrow( File "/azureml-envs/azureml_3fd961071e34482bf34e05fd92e40a82/lib/python3.8/site-packages/azureml/studio/internal/error.py", line 842, in rethrow raise err from e azureml.studio.internal.error.LibraryExceptionError: Unknown library exception: type object 'object' has no attribute 'dtype'. 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