Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.scriptrun = azureml.core.script_run:ScriptRun._from_run_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23')).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.PipelineRun = azureml.pipeline.core.run:PipelineRun._from_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.ReusedStepRun = azureml.pipeline.core.run:StepRun._from_reused_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Failure while loading azureml_run_type_providers. Failed to load entrypoint azureml.StepRun = azureml.pipeline.core.run:StepRun._from_dto with exception (urllib3 1.26.12 (/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages), Requirement.parse('urllib3<=1.26.9,>=1.23'), {'azureml-core'}).
Session_id = 0634a79d-9460-4929-ac74-3be6b3f3f433
Invoking module by urldecode_invoker 0.0.8.

Module type: official module.

Using runpy to invoke module 'azureml.studio.modulehost.module_invoker'.

2023-06-28 13:51:40,742 studio.modulehost    INFO       Reset logging level to DEBUG
2023-06-28 13:51:40,742 studio.modulehost    INFO       Load pyarrow.parquet explicitly: <module 'pyarrow.parquet' from '/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/pyarrow/parquet.py'>
2023-06-28 13:51:40,742 studio.core          INFO       execute_with_cli - Start:
2023-06-28 13:51:40,742 studio.modulehost    INFO       |   ALGHOST 0.0.177
2023-06-28 13:51:40,744 studio.modulehost    INFO       |   CLI arguments parsed: {'module_name': 'azureml.studio.modules.ml.score.apply_transformation.apply_transformation', 'OutputPortsInternal': {'Transformed dataset': '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/Transformed_dataset'}, 'InputPortsInternal': {'Transformation': '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation', 'Dataset': '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset'}}
2023-06-28 13:51:40,950 studio.modulehost    INFO       |   Invoking ModuleEntry(azureml.studio.modules.ml.score.apply_transformation.apply_transformation; ApplyTransformationModule; run)
2023-06-28 13:51:40,950 studio.core          DEBUG      |   Input Ports:
2023-06-28 13:51:40,950 studio.core          DEBUG      |   |   Transformation = <azureml.studio.modulehost.cli_parser.CliInputValue object at 0x153b6e8b9640>
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   Dataset = <azureml.studio.modulehost.cli_parser.CliInputValue object at 0x153b6e8b9430>
2023-06-28 13:51:40,951 studio.core          DEBUG      |   Output Ports:
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   Transformed dataset = /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/Transformed_dataset
2023-06-28 13:51:40,951 studio.core          DEBUG      |   Parameters:
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   (empty)
2023-06-28 13:51:40,951 studio.core          DEBUG      |   Environment Variables:
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   AZUREML_DATAREFERENCE_DATASET = /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   AZUREML_DATAREFERENCE_Dataset = /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   AZUREML_DATAREFERENCE_TRANSFORMATION = /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation
2023-06-28 13:51:40,951 studio.core          DEBUG      |   |   AZUREML_DATAREFERENCE_Transformation = /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation
2023-06-28 13:51:40,951 studio.core          INFO       |   Reflect input ports and parameters - Start:
2023-06-28 13:51:40,951 studio.core          INFO       |   |   Handle input port "Transformation" - Start:
2023-06-28 13:51:40,951 studio.core          INFO       |   |   |   Mount/Download dataset to '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation' - Start:
2023-06-28 13:51:40,951 studio.modulehost    DEBUG      |   |   |   |   Content of directory /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation:
2023-06-28 13:51:40,957 studio.modulehost    DEBUG      |   |   |   |   |   _meta.yaml
2023-06-28 13:51:40,957 studio.modulehost    DEBUG      |   |   |   |   |   data.itransform
2023-06-28 13:51:40,957 studio.core          INFO       |   |   |   Mount/Download dataset to '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation' - End with 0.0061s elapsed.
2023-06-28 13:51:40,963 studio.core          INFO       |   |   |   Try to read from /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation via meta - Start:
2023-06-28 13:51:40,997 studio.common        INFO       |   |   |   |   Load meta data from directory successfully, data=TransformationDirectory(meta={'type': 'TransformationDirectory', 'extension': {}, 'transform_type': 'Pickle', 'file_path': 'data.itransform'}), type=<class 'azureml.studio.core.io.transformation_directory.PickleTransformationDirectory'>
2023-06-28 13:51:40,997 studio.common        INFO       |   |   |   |   Load TransformationDirectory successfully, transform=<azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>
2023-06-28 13:51:40,998 studio.core          INFO       |   |   |   Try to read from /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Transformation via meta - End with 0.0348s elapsed.
2023-06-28 13:51:40,998 studio.core          INFO       |   |   Handle input port "Transformation" - End with 0.0464s elapsed.
2023-06-28 13:51:40,998 studio.core          INFO       |   |   Handle input port "Dataset" - Start:
2023-06-28 13:51:40,998 studio.core          INFO       |   |   |   Mount/Download dataset to '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset' - Start:
2023-06-28 13:51:40,998 studio.modulehost    DEBUG      |   |   |   |   Content of directory /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset:
2023-06-28 13:51:41,014 studio.modulehost    DEBUG      |   |   |   |   |   _meta.yaml
2023-06-28 13:51:41,014 studio.modulehost    DEBUG      |   |   |   |   |   _samples.json
2023-06-28 13:51:41,014 studio.modulehost    DEBUG      |   |   |   |   |   data.dataset
2023-06-28 13:51:41,014 studio.modulehost    DEBUG      |   |   |   |   |   data.dataset.parquet
2023-06-28 13:51:41,014 studio.modulehost    DEBUG      |   |   |   |   |   data.visualization
2023-06-28 13:51:41,019 studio.modulehost    DEBUG      |   |   |   |   |   schema/_schema.json
2023-06-28 13:51:41,019 studio.core          INFO       |   |   |   Mount/Download dataset to '/mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset' - End with 0.0216s elapsed.
2023-06-28 13:51:41,026 studio.core          INFO       |   |   |   Try to read from /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset via meta - Start:
2023-06-28 13:51:41,081 studio.common        INFO       |   |   |   |   Load DataTableMeta successfully, path=data.dataset
2023-06-28 13:51:41,082 studio.common        INFO       |   |   |   |   Load meta data from directory successfully, data=DataFrameDirectory(meta={'type': 'DataFrameDirectory', 'visualization': [{'type': 'Visualization', 'path': 'data.visualization'}], 'extension': {'DataTableMeta': 'data.dataset'}, 'format': 'Parquet', 'data': 'data.dataset.parquet', 'samples': '_samples.json', 'schema': 'schema/_schema.json'}), type=<class 'azureml.studio.common.datatable.data_table_directory.DataTableDirectory'>
2023-06-28 13:51:41,106 studio.core          INFO       |   |   |   Try to read from /mnt/azureml/cr/j/fafcc05cd0904d9cb33a4b4a17830d8e/cap/data-capability/wd/INPUT_Dataset via meta - End with 0.0802s elapsed.
2023-06-28 13:51:41,106 studio.core          INFO       |   |   Handle input port "Dataset" - End with 0.1084s elapsed.
2023-06-28 13:51:41,106 studio.core          INFO       |   Reflect input ports and parameters - End with 0.1551s elapsed.
2023-06-28 13:51:41,106 studio.core          INFO       |   ApplyTransformationModule.run - Start:
2023-06-28 13:51:41,106 studio.core          DEBUG      |   |   kwargs:
2023-06-28 13:51:41,106 studio.core          DEBUG      |   |   |   transform = <azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>
2023-06-28 13:51:41,106 studio.core          DEBUG      |   |   |   data = <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>
2023-06-28 13:51:41,106 studio.core          DEBUG      |   |   validated_args:
2023-06-28 13:51:41,107 studio.core          DEBUG      |   |   |   transform = <azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>
2023-06-28 13:51:41,107 studio.core          DEBUG      |   |   |   data = <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>
2023-06-28 13:51:41,107 studio.core          INFO       |   |   NormalizeTransformer.apply - Start:
2023-06-28 13:51:41,107 studio.core          INFO       |   |   NormalizeTransformer.apply - End with 0.0002s elapsed.
2023-06-28 13:51:41,107 studio.core          INFO       |   ApplyTransformationModule.run - End with 0.0006s elapsed.
2023-06-28 13:51:41,107 studio.modulehost    INFO       |   Set error info in module statistics
2023-06-28 13:51:41,107 studio.core          INFO       |   Logging exception information of module execution - Start:
2023-06-28 13:51:41,107 studio.modulehost    INFO       |   |   Session_id = 0634a79d-9460-4929-ac74-3be6b3f3f433
2023-06-28 13:51:41,107 studio.core          INFO       |   |   ModuleStatistics.log_stack_trace_telemetry - Start:
2023-06-28 13:51:41,273 studio.core          INFO       |   |   ModuleStatistics.log_stack_trace_telemetry - End with 0.1658s elapsed.
2023-06-28 13:51:41,273 studio.modulehost    ERROR      |   |   Get ModuleError when invoking ModuleEntry(azureml.studio.modules.ml.score.apply_transformation.apply_transformation; ApplyTransformationModule; run)
Traceback (most recent call last):
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 379, in exec
    output_tuple = self._entry.func(**reflected_input_ports, **reflected_parameters)
      > reflected_input_ports = {'transform': <azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>, 'data': <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>}
      > reflected_parameters = {}
      > self = <azureml.studio.modulehost.module_reflector.ModuleReflector object at 0x153b6ec2b5e0>

  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 76, in wrapper
    ret = func(*args, **validated_args)
      > func = <function ApplyTransformationModule.run at 0x153b6ec32820>
      > args = ()
      > validated_args = {'transform': <azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>, 'data': <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>}

  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modules/ml/score/apply_transformation/apply_transformation.py", line 51, in run
    return transform.apply(data),
      > data = <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>
      > transform = <azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>

  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/core/logger.py", line 214, in wrapper
    ret = func(*args, **kwargs)
      > func = <function NormalizeTransformer.apply at 0x153b6e8e0280>
      > args = (<azureml.studio.modules.datatransform.scale_and_reduce.normalize_data.nomalize_transformer.NormalizeTransformer object at 0x153b6e8b9ac0>, <azureml.studio.common.datatable.data_table.DataTable object at 0x153b6e8e9970>)
      > kwargs = {}

  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modules/datatransform/scale_and_reduce/normalize_data/nomalize_transformer.py", line 68, in apply
    ErrorMapping.throw(ColumnNotFoundError(column_name))
      > column_name = 'Diabetic'

  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/common/error.py", line 835, in throw
    raise err
      > err = ColumnNotFoundError('Column with name or index "Diabetic" not found.')

  ColumnNotFoundError: Column with name or index "Diabetic" not found.
2023-06-28 13:51:41,274 studio.core          INFO       |   Logging exception information of module execution - End with 0.1668s elapsed.
2023-06-28 13:51:41,274 studio.core          INFO       |   ModuleStatistics.save_to_azureml - Start:
2023-06-28 13:51:41,483 studio.core          INFO       |   ModuleStatistics.save_to_azureml - End with 0.2087s elapsed.
2023-06-28 13:51:41,483 studio.core          INFO       execute_with_cli - End with 0.7405s elapsed.
Cleaning up all outstanding Run operations, waiting 300.0 seconds
2 items cleaning up...
Cleanup took 0.15933799743652344 seconds
Traceback (most recent call last):
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_invoker.py", line 7, in <module>
    execute(sys.argv)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_host_executor.py", line 41, in execute
    return execute_with_cli(original_args)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/core/logger.py", line 214, in wrapper
    ret = func(*args, **kwargs)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_host_executor.py", line 52, in execute_with_cli
    do_execute_with_env(parser, FolderRuntimeEnv())
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_host_executor.py", line 63, in do_execute_with_env
    ModuleReflector(parser.module_entry, env).exec(
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 397, in exec
    self._handle_exception(bex)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 471, in _handle_exception
    raise exception
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 379, in exec
    output_tuple = self._entry.func(**reflected_input_ports, **reflected_parameters)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modulehost/module_reflector.py", line 76, in wrapper
    ret = func(*args, **validated_args)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modules/ml/score/apply_transformation/apply_transformation.py", line 51, in run
    return transform.apply(data),
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/core/logger.py", line 214, in wrapper
    ret = func(*args, **kwargs)
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/modules/datatransform/scale_and_reduce/normalize_data/nomalize_transformer.py", line 68, in apply
    ErrorMapping.throw(ColumnNotFoundError(column_name))
  File "/azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/common/error.py", line 835, in throw
    raise err
azureml.studio.common.error.ColumnNotFoundError: Column with name or index "Diabetic" not found.