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Questions tagged [azure-ml-pipelines]

42 questions
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ModelAssetPathNotFoundInStorage error when mlflow.sklearn.autolog() used to train within an Azure ML YAML Pipeline

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 called Full stacktrace not available, the exception…
Adrian Torrie
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Azure Machine Learning Execute Pipeline Configuration to pass input data

I would like to create a Synapse Pipeline for batch inferencing with data ingestion to store the data into data lake and then use this as input to call a batch endpoint already created (through ML Execute Pipeline) Then, capture the output into the…
Cengiz
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Access custom module in Azure ML subprocess / Edit PYTHONPATH inside of Azure ML pipeline

I have the following project structure: . ├── my_custom_module │ └── __init__.py │ └── ... ├── scripts │ ├── start_script.py │ └── example.py I am running start_script.py inside of Azure ML studio…
mayool
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Automatically Register Custom Models in Azure ML Studio Designer and Deploy Within Designer

I am currently trying out different architectures with Azure ML Ecosystem. Currently, I am testing out Azure ML Studio Designer. I want to create a complete End to End ML system, where I train several models and deploy the best. The Pipeline…
Imperial_J
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'Submit' in Azure ML Studio 'Designer' not showing training process in components

I'm following a tutorial to learn how to use Azure ML Studio. Yesterday, I completed the Use Azure Machine Learning Designer without a hitch and got a diabetes prediction service up and running (I completed the first two parts of the tutorial before…
Xhattam
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Saving data transformer for AzureML model

I have an Azure Machine Learning training pipeline that uses scikit-learn's MinMaxScaler in the pre-processing step. What is the best way to save the MinMaxScaler (or any other transformer) so that it can later be used during inference. Ideally I…
ganninu93
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azureml Submitting deployment to compute taking very long

Azureml is stuck on submitting deployment to compute for a very long time. how can I speed this up? is it because of cpu and memory or due to other reasons? log output Running 2022-08-23 14:51:11+00:00 Creating Container Registry if not…
tommyt
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How to deploy multiple ml models with scoring file using azure ml cli

I'm trying to deploy the Multiple azure ml models from workspace with scoring script file but i'm unable to deploy 2 models with azure ml cli az ml model deploy --name multi-model --model '[model1:9,model2:1]' --compute-target 'aks-cpu' --ic…
Pkn
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How to submit local jobs with dsl.pipeline

Trying to run and debug a pipeline locally. Pipeline is imeplemented with azure.ml.component.dsl.pipeline. When I try to set default_compute_target='local', the compute target cannot be found: local not found in workspace, assume this is an…
Amir
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Azure Machine Learning Studio - Data access for different users

am using Azure Machine Learning Studio and have a lot of SQL-Databases and storage accoutns as data sources attached and created many datasets. Since we've many users (with IAM role Azure Data Scientist) in Azure Machine Learning Studio, we need to…
R. Maier
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AzureML - How to create a web service from a clustering model

I've created an Inference Pipeline that clusters a set of data using K-means. When run from the designer it works fine and returns cluster assignments for the input data. Once deployed as a web service, the service always returns an empty set of…
Simon
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