I want to access a blob container in the endpoint of "core.chinacloudapi.cn". When I am using Datastore.register_azure_blob_container() to register a blob container with endpoint="core.chinacloudapi.cn", it return an error "azure._restclient.models.error_response.ErrorResponseException (Invalid) Inv...

I'm running the following from the example: from azureml.core import Workspace from azureml.core.experiment import Experiment from azureml.core.environment import Environment from azureml.core.conda_dependencies import CondaDependencies from azureml.core import ScriptRunConfig, Experiment ws = Work...

I have a query regarding the behavior of the azureml.pipeline.core.graph.PipelineParameter class. As its name suggests, the PipelineParameter is employed to dynamically pass values to our pipeline after its publication. My objective is to convey dynamic values to the orchestrating notebook. For inst...

Package Name: azureml-sdk[notebooks] Package Version: 1.52.0 Operating System: Ubuntu 20.04.4 LTS Python Version: 3.9.5 Describe the bug When using function getSteps() of the class azureml.pipeline.core.PipelineRun, the returned object is a list of Step objects, not StepRun objects as described in...

Hi, I have wrongly used the upload method of datastore class (from a Bing conversation/chatgpt response) and so have uploaded files I do not want on my Azure ML datastore. I do not know how to remove them and when I came to the documentation here to find a delete method, I do not even find the uploa...

Hello, I installed azureml-pipeline-steps==1.52.0 to deploy my pipeline from github actions to azure ml studio pipeline. This package has dependency on dotnetcore2<4.0.0,>=3.0.0, then dotnetcore2==3.1.23 was installed. ubuntu==22.04 python==3.8 I installed different version combination of dotn...

I'm trying to run ParallelRunStep: parallel_run_config = ParallelRunConfig( source_directory=experiment_folder, entry_script='training_file.py', mini_batch_size="1KB", error_threshold=10, output_action="append_row", environment=registered_env, compute_target=pipeline_cl...

I am unable to install the latest version (as shown on the azureml-automl-runtime PyPI website) : i.e. azureml-automl-runtime 1.52.0.post1 Using the command pip index versions azureml-automl-runtime gives the following output: Available versions: 1.18.0.post2, 1.18.0.post1, 1.18.0, 1.17.0, 1.16.0, 1...

I created some pipelines using the code provided in https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-setup-schedule-for-a-published-pipeline.ipynb. What I did was basically the following code and it ran witho...