-
Notifications
You must be signed in to change notification settings - Fork 2.6k
Open
Labels
ADOIssue is documented on MSFT ADO for internal trackingIssue is documented on MSFT ADO for internal trackingMLOps
Description
I am getting an error when trying to upload and register a pandas dataframe using the experimental method from my local machine using the azureml SDK.
Dataset.Tabular.register_pandas_dataframe(dataframe=df,
target=ds,
name=name,
description=description,
tags=tags,
show_progress=True)
Where ds is the workspace default datastore, df is a pandas dataframe and tags is a key value pair dict.
This does work through a jupyter notebook, however, when executing the code from a script it fails. I have never seen this before and couldn't find anything online or in the documentation.
AzureML SDK version: 1.27.0
Pandas version: 1.2.0
Document Details
⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.
- ID: 9b1aee32-5a1f-2ef1-ee76-30b17999db87
- Version Independent ID: f4785272-a81d-e9cc-c6a5-9d41c8dcd90b
- Content: azureml.data.dataset_factory.TabularDatasetFactory class - Azure Machine Learning Python
- Content Source: AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml
- Service: machine-learning
- Sub-service: core
- GitHub Login: @DebFro
- Microsoft Alias: debfro
Reactions are currently unavailable
Metadata
Metadata
Assignees
Labels
ADOIssue is documented on MSFT ADO for internal trackingIssue is documented on MSFT ADO for internal trackingMLOps
