What are NStack Models?
NStack provides a library of statistical and machine learning models which can be used in workflows. These models have been optimised for various use-cases and data formats.
Do I need to understand statistics or know how to code to use the models?
No. These models are intended to be used without having to dive into statistics or write custom code, and have lots of features to automate these things.
How do I use the models?
After you create a workflow, if you click the 'Model' button in your toolbar, it will bring up the selection of models which can be added to your workflow.
What features do the models provide?
Models include automatic validation (if the model allows it) and automatic pre-processing of data to remove things that could skew results (such as imbalanced classes or highly correlated variables).