<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Automl Machine Learning</title><link>http://www.bing.com:80/search?q=Automl+Machine+Learning</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Automl Machine Learning</title><link>http://www.bing.com:80/search?q=Automl+Machine+Learning</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>No module named 'automl' when unpickle auto-trained model</title><link>https://stackoverflow.com/questions/53588040/no-module-named-automl-when-unpickle-auto-trained-model</link><description>No module named 'automl' when unpickle auto-trained model Ask Question Asked 7 years, 4 months ago Modified 7 years, 4 months ago</description><pubDate>Wed, 01 Apr 2026 14:22:00 GMT</pubDate></item><item><title>Batch Endpoint Deployment Fails with Status Code 42 for AutoML Model</title><link>https://stackoverflow.com/questions/79711856/batch-endpoint-deployment-fails-with-status-code-42-for-automl-model</link><description>Batch Deployment: Deployed model for batch inference using Batch Endpoint wizard within Azure ML Studio (No-Code UI). Data Files: Training File: Clean, properly formatted, and successfully used during AutoML training. Testing File: CSV format, accessible in Azure Blob Storage, and successfully used for evaluation and real-time inference.</description><pubDate>Thu, 02 Apr 2026 06:14:00 GMT</pubDate></item><item><title>Creating a ML Pipeline with AutoML component using Azure ML Python SDK ...</title><link>https://stackoverflow.com/questions/72703575/creating-a-ml-pipeline-with-automl-component-using-azure-ml-python-sdk-v2</link><description>How would I create a machine learning pipeline with AutoML component using Azure Machine Learning Python SDK v2? I see that there is a way to pass in a custom user script as a component in this official guide, but I want to pass in Microsoft AutoML as a component instead.</description><pubDate>Fri, 27 Mar 2026 20:48:00 GMT</pubDate></item><item><title>Newest 'automl' Questions - Stack Overflow</title><link>https://stackoverflow.com/questions/tagged/automl?tab=Newest</link><description>[automl] The goal of Automated Machine Learning (AutoML) is to make machine learning more accessible by automatically generating a data analysis pipeline that can include data pre-processing, feature selection, and feature engineering methods along with machine learning methods and parameter settings that...</description><pubDate>Tue, 31 Mar 2026 22:30:00 GMT</pubDate></item><item><title>How do I specify feature columns in Databricks AutoML?</title><link>https://stackoverflow.com/questions/77573562/how-do-i-specify-feature-columns-in-databricks-automl</link><description>2 I am running Databricks AutoML in a Python notebook with the look-ups from the feature tables. However, the additional columns are always included, and all runs fail.</description><pubDate>Sat, 28 Mar 2026 07:10:00 GMT</pubDate></item><item><title>Python =&gt; AutoML: XGBoost is not available; skipping it</title><link>https://stackoverflow.com/questions/67404805/python-automl-xgboost-is-not-available-skipping-it</link><description>2 I am getting this warning when running h2o AutoML. I have version 3.32.1.2 installed, and running it on python 3.8.</description><pubDate>Sat, 28 Mar 2026 11:14:00 GMT</pubDate></item><item><title>Download and use Azure AutoML model on local machine?</title><link>https://stackoverflow.com/questions/75296458/download-and-use-azure-automl-model-on-local-machine</link><description>I've used Azure AutoML to build and train a classification model. However, instead of deploying the model to a web service or real-time endpoint, I'd like to be able to download the model and run it on my local machine.</description><pubDate>Wed, 01 Apr 2026 00:03:00 GMT</pubDate></item><item><title>databricks - AutoML Forecast fails when using feature_store_lookups ...</title><link>https://stackoverflow.com/questions/79673502/automl-forecast-fails-when-using-feature-store-lookups-with-timestamp-key</link><description>When we remove the feature_store_lookups, AutoML completes without errors. The issue appears only when the timestamp column (Monat) is both: present in primary_keys, and passed again as timestamp_lookup_key Can you confirm if this is a known issue, and what the correct way is for using feature_store_lookups with timestamp_lookup_key in AutoML?</description><pubDate>Mon, 23 Mar 2026 16:06:00 GMT</pubDate></item><item><title>Can I use local compute for Azure AutoML Forecasting?</title><link>https://stackoverflow.com/questions/76043778/can-i-use-local-compute-for-azure-automl-forecasting</link><description>I would like to use my PC to train a model using Azure AutoML Forecasting, rather than paying for a compute cluster. I am using the Azure ML Python SDK v2, and when setting the compute to local, I ...</description><pubDate>Tue, 31 Mar 2026 02:20:00 GMT</pubDate></item><item><title>Is it possible to get a feature importance plot from a h2o.automl model?</title><link>https://stackoverflow.com/questions/51640086/is-it-possible-to-get-a-feature-importance-plot-from-a-h2o-automl-model</link><description>Is it possible to obtain a plot of the importances of my dataset features from the "h2o.automl" model? A pointer to some python 3 code would be much appreciated.</description><pubDate>Sat, 28 Mar 2026 15:17:00 GMT</pubDate></item></channel></rss>