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2 votes
1 answer
285 views

Azure ML SDKv2: Scheduled Pipeline Job Not Executing Main Script Properly Problem: I'm working on migrating an Azure ML project from SDKv1 to SDKv2. While my scheduled pipeline job runs successfully, ...
Amandeep Singh's user avatar
1 vote
1 answer
563 views

I am currently working on deploying an Azure ML endpoint and facing an issue with achieving parallel execution. Below is the code snippet I am using: def create_online_deployment(self, ml_client, ...
yash pardeshi's user avatar
1 vote
1 answer
285 views

I have several shapefiles stored in Azure Blob Storage within my Azure Machine Learning workspace, each comprising the files: file.fix, file.shp, file.dbf, file.prj, and file.shx. I need to directly ...
Vanaclocha's user avatar
0 votes
1 answer
533 views

I'm using Azure Machine Learning (Azure ML) to manage my machine learning workflows, and I want to set up dataset scheduling based on trigger time. The dataset I'm working with has a different format ...
leuction's user avatar
  • 595
1 vote
1 answer
220 views

Trying to pass a partitioned TabularDataset into a ParallelRunStep as input, but getting the error and can't figure out why azureml ParallelRunStep can't recognize the partitioned dataset: ...
geominded's user avatar
  • 207
0 votes
0 answers
759 views

YAML appears correct, there are no validation issues, and the pipeline can be seen in the Azure ML Studio GUI I'm assuming the error is thrown by mlflow.sklearn.autolog() when the fit() method is ...
Adrian Torrie's user avatar
2 votes
1 answer
1k views

The data output from select columns in the dataset is not coming and because of this, I am not able to get suggestions in downstream clean missing data components. I am unable to debug why data output ...
Shoaibakhtar Shaikh's user avatar