Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient? Trying to use data asset https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-register-data-assets?tabs=Python-SDK from azure.ai.ml.entities import Data from azure.ai.ml.constants import AssetTypes from azure.ai.ml import MLClient #Enter details of your…
I am trying to print a .yml file for an environment. I can do it for this environment: env = Environment.get(workspace = ws, name = 'AzureML-AutoML', version=115) print(env) print(env.python.conda_dependencies.serialize_to_string()) >>>Environment(Name: AzureML-AutoML, Version: 115) channels: - anaconda - conda-forge - pytorch…
I need to change the flavors "sklearn_version" in mlflow from "0.22.1" to "1.0.0" on azure machine learning when I log my trained model, since this model will be incompatible with the sklearn version that I am using for deployment during…
My application sends requests to Azure Machine Learning REST API in order to invoke a batch endpoint and start scoring jobs as described here. It works well for small number of requests, but if the app sends many concurrent requests…
I am able to log and fetch metrics to AzureML using Run.log, however, I need a way to also log run parameters, like Learning Rate, or Momentum. I can't seem to find anything in the AzureML Python SDK documentation to…
I can't find the proper way to add dependencies to my Azure Container Instance for ML Inference. I basically started by following this tutorial : Train and deploy an image classification model with an example Jupyter Notebook It works fine.…