Hi @rick-wheller ,
Can you provide more details about your use case? We have multiple unsupervised methods to detect anomalies built into the platform. Also, many of our blueprints use unsupervised methods (PCA, k-means clustering, etc.) to generate additional information for supervised models (e.g. XGBoost).
@rick-wheller No problem! We have isolation forest, one class SVM, and local outlier factor, and some other statistical techniques available.
One quick note: Isolation Forest and double median will perform the fastest on larger datasets.
I am unable to find a FREE course on DataRobot University on this topic. Can you please direct me to where I can find a tutorial on Unsupervised learning , clustering methods and artifacts related to this, basic intro before I can learn about Anomaly detection.
Hi @ssukavan - Have you had a change to look at the information @dalilaB shared? Does this have what you're looking for? If so, please help others find the best answer by selecting her response as the solution. If not -- what more do you need? I'm sure other members would love to help you out.
Let us know!
Its great that I can see documentation on the topic I requested , but dont see the option in my installation. Is it a version issue or a cloud/on-prem issue. Ours is an on-prem installation.