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 = 2fe08768-a3e8-4d02-b2d3-efb9b46adc6d Invoking module by urldecode_invoker 0.0.8. Module type: official module. Using runpy to invoke module 'azureml.studio.modulehost.module_invoker'. 2023-06-13 11:25:50,828 studio.modulehost INFO Reset logging level to DEBUG 2023-06-13 11:25:50,829 studio.modulehost INFO Load pyarrow.parquet explicitly: 2023-06-13 11:25:50,829 studio.core INFO execute_with_cli - Start: 2023-06-13 11:25:50,829 studio.modulehost INFO | ALGHOST 0.0.177 2023-06-13 11:25:50,833 studio.modulehost INFO | CLI arguments parsed: {'module_name': 'azureml.studio.modules.datatransform.split_data.split_data', 'OutputPortsInternal': {'Results dataset1': '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/Results_dataset1', 'Results dataset2': '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/Results_dataset2'}, 'InputPortsInternal': {'Dataset': '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset'}, 'ModuleParameters': {'Splitting mode': 'Split Rows', 'Fraction of rows in the first output dataset': '0.7', 'Randomized split': 'True', 'Random seed': '1', 'Stratified split': 'True', 'Stratification key column': '%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22Target%22%5D%7D%5D%7D'}} 2023-06-13 11:25:50,990 studio.modulehost INFO | Invoking ModuleEntry(azureml.studio.modules.datatransform.split_data.split_data; SplitDataModule; run) 2023-06-13 11:25:50,990 studio.core DEBUG | Input Ports: 2023-06-13 11:25:50,990 studio.core DEBUG | | Dataset = 2023-06-13 11:25:50,990 studio.core DEBUG | Output Ports: 2023-06-13 11:25:50,990 studio.core DEBUG | | Results dataset1 = /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/Results_dataset1 2023-06-13 11:25:50,990 studio.core DEBUG | | Results dataset2 = /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/Results_dataset2 2023-06-13 11:25:50,990 studio.core DEBUG | Parameters: 2023-06-13 11:25:50,990 studio.core DEBUG | | Splitting mode = Split Rows 2023-06-13 11:25:50,990 studio.core DEBUG | | Fraction of rows in the first output dataset = 0.7 2023-06-13 11:25:50,990 studio.core DEBUG | | Randomized split = True 2023-06-13 11:25:50,990 studio.core DEBUG | | Random seed = 1 2023-06-13 11:25:50,990 studio.core DEBUG | | Stratified split = True 2023-06-13 11:25:50,990 studio.core DEBUG | | Stratification key column = %7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22exclude%22%3Afalse%2C%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22Target%22%5D%7D%5D%7D 2023-06-13 11:25:50,991 studio.core DEBUG | Environment Variables: 2023-06-13 11:25:50,991 studio.core DEBUG | | AZUREML_DATAREFERENCE_DATASET = /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset 2023-06-13 11:25:50,991 studio.core DEBUG | | AZUREML_DATAREFERENCE_Dataset = /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset 2023-06-13 11:25:50,991 studio.core INFO | Reflect input ports and parameters - Start: 2023-06-13 11:25:50,991 studio.core INFO | | Handle input port "Dataset" - Start: 2023-06-13 11:25:50,991 studio.core INFO | | | Mount/Download dataset to '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset' - Start: 2023-06-13 11:25:50,991 studio.modulehost DEBUG | | | | Content of directory /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset: 2023-06-13 11:25:51,006 studio.modulehost DEBUG | | | | | _meta.yaml 2023-06-13 11:25:51,006 studio.modulehost DEBUG | | | | | _samples.json 2023-06-13 11:25:51,006 studio.modulehost DEBUG | | | | | data.dataset 2023-06-13 11:25:51,006 studio.modulehost DEBUG | | | | | data.dataset.parquet 2023-06-13 11:25:51,006 studio.modulehost DEBUG | | | | | data.visualization 2023-06-13 11:25:51,011 studio.modulehost DEBUG | | | | | schema/_schema.json 2023-06-13 11:25:51,011 studio.core INFO | | | Mount/Download dataset to '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset' - End with 0.0204s elapsed. 2023-06-13 11:25:51,017 studio.core INFO | | | Try to read from /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset via meta - Start: 2023-06-13 11:25:51,250 studio.common INFO | | | | Load DataTableMeta successfully, path=data.dataset 2023-06-13 11:25:51,277 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= 2023-06-13 11:25:51,300 studio.core INFO | | | Try to read from /mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/INPUT_Dataset via meta - End with 0.2825s elapsed. 2023-06-13 11:25:51,300 studio.core INFO | | Handle input port "Dataset" - End with 0.3095s elapsed. 2023-06-13 11:25:51,300 studio.modulehost INFO | | Parse enum parameter 2023-06-13 11:25:51,300 studio.modulehost INFO | | Parse float parameter 2023-06-13 11:25:51,300 studio.modulehost INFO | | Parse bool parameter 2023-06-13 11:25:51,301 studio.modulehost INFO | | Parse int parameter 2023-06-13 11:25:51,301 studio.modulehost INFO | | Parse enum parameter 2023-06-13 11:25:51,301 studio.modulehost INFO | | Parse ColumnSelection parameter 2023-06-13 11:25:51,301 studio.core INFO | Reflect input ports and parameters - End with 0.3101s elapsed. 2023-06-13 11:25:51,301 studio.core INFO | SplitDataModule.run - Start: 2023-06-13 11:25:51,301 studio.core DEBUG | | kwargs: 2023-06-13 11:25:51,301 studio.core DEBUG | | | table = 2023-06-13 11:25:51,301 studio.core DEBUG | | | mode = 2023-06-13 11:25:51,301 studio.core DEBUG | | | ratio = 0.7 2023-06-13 11:25:51,301 studio.core DEBUG | | | random_flag = True 2023-06-13 11:25:51,301 studio.core DEBUG | | | seed = 1 2023-06-13 11:25:51,301 studio.core DEBUG | | | stratify_flag = 2023-06-13 11:25:51,301 studio.core DEBUG | | | strats_column = 2023-06-13 11:25:51,301 studio.core DEBUG | | validated_args: 2023-06-13 11:25:51,301 studio.core DEBUG | | | table = 2023-06-13 11:25:51,301 studio.core DEBUG | | | mode = 2023-06-13 11:25:51,301 studio.core DEBUG | | | ratio = 0.7 2023-06-13 11:25:51,301 studio.core DEBUG | | | random_flag = True 2023-06-13 11:25:51,301 studio.core DEBUG | | | seed = 1 2023-06-13 11:25:51,301 studio.core DEBUG | | | stratify_flag = 2023-06-13 11:25:51,301 studio.core DEBUG | | | strats_column = 2023-06-13 11:25:51,301 studio.core DEBUG | | | training_only_user_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | test_user_rating_training_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | cold_user_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | cold_item_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | ignored_user_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | ignored_item_fraction = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | remove_occasional_cold_items = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | seed_recommender = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | reg_ex = None 2023-06-13 11:25:51,302 studio.core DEBUG | | | rel_ex = None 2023-06-13 11:25:51,302 studio.module INFO | | SplitterSplitMode.GenericSplit mode 2023-06-13 11:25:51,302 studio.module INFO | | stratify table by column 'Target' 2023-06-13 11:25:51,306 studio.module INFO | | begin split. 2023-06-13 11:25:51,306 studio.core DEBUG | | shape: 2023-06-13 11:25:51,306 studio.core DEBUG | | | [0] = 1261 2023-06-13 11:25:51,306 studio.core DEBUG | | | [1] = 541 2023-06-13 11:25:51,307 studio.core DEBUG | | shape: 2023-06-13 11:25:51,307 studio.core DEBUG | | | [0] = 445 2023-06-13 11:25:51,307 studio.core DEBUG | | | [1] = 191 2023-06-13 11:25:51,308 studio.module INFO | | randomize folds. 2023-06-13 11:27:16,916 studio.core DEBUG | | return: 2023-06-13 11:27:16,934 studio.core DEBUG | | | [0] = 2023-06-13 11:27:16,934 studio.core DEBUG | | | [1] = 2023-06-13 11:27:16,935 studio.core INFO | SplitDataModule.run - End with 85.6335s elapsed. 2023-06-13 11:27:16,937 studio.core INFO | ModuleReflector._handle_output_ports - Start: 2023-06-13 11:27:16,948 studio.core INFO | | Handle output port "Results dataset1" - Start: 2023-06-13 11:27:16,954 studio.modulehost INFO | | | Data type: Dataset 2023-06-13 11:27:16,954 studio.modulehost INFO | | | Create directory: '/mnt/azureml/cr/j/7c6da3fbb888457cbebf2b1c72caff0e/cap/data-capability/wd/Results_dataset1' 2023-06-13 11:27:17,171 studio.core INFO | | | Write pickle file 'data.dataset' - Start: 2023-06-13 11:27:17,183 studio.core INFO | | | Write pickle file 'data.dataset' - End with 0.0121s elapsed. 2023-06-13 11:27:17,185 studio.core INFO | | | Write to parquet file 'data.dataset.parquet'. Rows: 4159228, Columns: 566. - Start: /azureml-envs/azureml_8f317849db35f281450cf74333640b98/lib/python3.8/site-packages/azureml/studio/core/io/data_frame_utils.py:77: FutureWarning: the 'fname'' keyword is deprecated, use 'path' instead df.to_parquet(fname=parquet_file_name, engine=_PARQUET_ENGINE,