Elipsa Rapid Deployment Template: Create Custom Outlier Detection

Create your own custom Self-Service Outlier Detection Template for Industrial Applications.

 

Create Custom Template

submitted

(1) Features is a comma separated list of the names of the data points that you will send to the template when you start streaming data

(2) Model Prefix is the name that is appended to all models created by this template to help you organize your models

(3) Initial Training Amount is the amount of examples that the template needs to receive before it will build an initial model

(4) Re-Training Amount is the amount of examples that the template needs to receive before it will re-train your initial model