sample project

Build a model using 5 different ML libraries

April 01, 2016

Advanced Machine Learning in DSS

The purpose of this project is to illustrate how DSS users build advanced machine learning models, by combining built-in DSS functionalities and external cutting-edge libraries and software :

  • Baseline using DSS
  • Custom scikit-learn model
  • Custom R (Caret) model
  • Custom H20 model
  • Custom Vowpal Wabbit model

The objective is to create a workflow that will allow the users to compare the results of several models.

Explore this sample project

Ready to enter Dataiku DSS ?

If you never used DSS, it might be worthy to familiarize yourself with DSS concepts in the first place.

Learn the concepts Enter DSS

This sample is already available in your DSS!

From your DSS home page, click on "Sample projects".

If your DSS server doesn't have Internet access, you can download this sample and import it manually (click on "Import project")

Don't have Dataiku DSS yet? Try for free now

From your DSS home page, click on "Sample projects".

If your DSS server doesn't have Internet access, you can download this sample and import it manually (click on "Import project")

Don't have Dataiku DSS yet? Try for free now

Can't access DSS from a mobile device

Sorry please try again from a desktop device (Chrome and Firefox support only).

Only Chrome and Firefox are supported

Sorry you seem to use another browser not supported by DSS, please try again from Chrome or Firefox.