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When I submit a pipeline with an associated schedule, it runs immediately after submission, instead of waiting until the scheduled time of the day, day of the month, etc. Is there a way to avoid this ...
Jau A's user avatar
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I would like to retrieve those schedules in AzureML workspace that have been triggered and have at least one complete run (e.g., a pipeline that has been triggered under that schedule) successfully ...
Jau A's user avatar
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51 views

I have a number of experiments completed in AzureML, each one consisting of one pipeline with multiple jobs, and some of the jobs (2 in my case, say job X and job Y) having associated logged metrics. ...
Jau A's user avatar
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0 answers
156 views

I am running my prompt flow (version 1.18.0) code as a pipeline. However, it seems like that the connection that I created in prompt flow which is referred in flow.dag.yaml is not working through a ...
Lopez's user avatar
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95 views

I am struggling to read a data asset from AzureML into my local python session. My code works up until I use mltable.load() (disguising my inputs with <...>): from azure.identity import ...
Andrew Yanke's user avatar
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1 answer
173 views

The ultimate goal - to publish my model to production. After a lot of iterations and not explicit errors I decided to do line by line check. I'm using Azure ML Notebooks. Everything is working until I ...
default_settings's user avatar
1 vote
1 answer
167 views

I am trying to run a command job that'd read in a Data Asset and perform some pre processing for further ML tasks. To read in the data in the .py file I used the code in the consume section as below: ...
Karthik S's user avatar
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2 votes
1 answer
275 views

I have a notebook in Azure Machine Learning Studio Workspace, and I have also created a compute cluster in the workspace. Now, I want to trigger this notebook from a Databricks notebook. I have ...
Sadman Saadat's user avatar
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1 answer
310 views

I want to create Azure Machine Learning component with custom environment. I've created the Environment and uploaded it to my workspace. from azure.ai.ml.entities import Environment from azure.ai.ml....
Nero515's user avatar
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1 answer
226 views

I am porting a sdk v1 machine learning pipeline to SDK v2. We have a step which, under certain conditions, cancels the whole pipeline job (ie, the other steps won't run). Its code is like this: from ...
Celso's user avatar
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1 answer
199 views

I am having a very difficult time trying to download a JSON file from a successful Azure ML pipeline job. In the pic below you can see the contents of the saved file. However using the Python SDK, ...
Cam Howe's user avatar
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1 answer
155 views

I have a AutoML generated binary classification model deployed to a batch endpoint. I can successfully invoke the model using the below code to output a file that contains a binary prediction (1|0). # ...
Connor's user avatar
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893 views

I'm working in Azure Machine Learning Studio to create components that I will run together in a pipeline. In this basic example, I have a single python script and a single yml file that make up my ...
Matt_Haythornthwaite's user avatar
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I have a aml pipeline that uses azureml sdkv2. I submit the pipeline as: def get_chained_credentials(client_id: str): try: managed_identity_creds = ManagedIdentityCredential(client_id=...
Obiii's user avatar
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1 answer
289 views

I am trying to submit a job to AzureML using Python SDK V2. I am developing locally on VSCode. As my repository grew over time, I now get the message when submitting the job: Your file exceeds 100 MB....
Niki's user avatar
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1 answer
473 views

Any help fixing the problem would be greatly appreciated. I am trying to deploy an old CNN model (MRCNN), last deployed in December 2020, on Azure ML studio using the Python SDK V2. After a successful ...
Furqan Rahamath's user avatar
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1 answer
256 views

I'm trying to create a Dataset from a datastore using Azure ML, however, the execution hangs forever and never finishes. This is the code I'm running which I've adapted from the Msft documentation: ...
Evandro Pomatti's user avatar
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2 answers
915 views

I am trying to create data assest with ADLS gen 2, and read a delta table on adls gen folder something like this: / └── my-data ├── _delta_log ├── part-0000-xxx.parquet └── part-0001-xxx....
2OG's user avatar
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1 answer
689 views

I got a python script which shall be executed as an Azure ML pipeline step. This script expects to find several file-sets in a certain tree structure e.g. data/ ├─ project_A/ │ ├─ data.csv │ ├─ ...
MauiMuc's user avatar
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1 answer
443 views

I'm working with some data in Azure ML, using Jupyter notebooks. I've gathered the data from an Azure SQL database by setting the tables up as assets and then used Python to run some machine learning ...
DC2021's user avatar
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1 vote
0 answers
212 views

I was trying to get a latest model from production using mlflow command, version = client.get_latest_versions(model_name, stages=["Production"])[0].version However this is working fine in ...
Harsha nimmagadda's user avatar
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0 answers
323 views

I am using Azure ML python SDK v2 to submit the job. The code parameter at "command" is pointed to the local "./source" path. train_func = command( environment="AzureML-...
yuerlong's user avatar
4 votes
1 answer
499 views

I'm using Azure Machine Learning v2 SDK to create a model deployment on a kubernetes compute attached to an AML workspace. I'm able to deploy it locally as part of testing before deploying online. ...
Rishabh Prajapati's user avatar
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0 answers
648 views

We are trying to migrate our azure ml pipelines from SDKV1 to SDKV2. The problem we are facing is that we cannot sequence the pipeline steps like we used to to in SDKV1. In SDKV1, we could simply do ...
Obiii's user avatar
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1 answer
3k views

I am looking to upgrade to the new Azure AML Python SDK v2. However, I can't replicate registering a dataset (now called data assets) directly from a dataframe. it seems that now the only option is to ...
Vanaclocha's user avatar

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