![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(195.2, 47%, 28%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EH%3C/text%3E%3C/svg%3E)
Azure Machine Learning
An Azure machine learning service for building and deploying models.
3,336 questions
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(214.4, 45%, 30%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EGM%3C/text%3E%3C/svg%3E)
Hi, thanks for reaching out. Currently, only PCA-Based Anomaly Detection is supported in AML designer. A workaround would be to apply PCA using the Execute Python Script component or the SDK. You can also share feedback on ideas portal so you and others can upvote to enable the product team prioritize this feature.
--please don't forget to Accept Answer if the reply is helpful. Thanks.--