IconOxidation_​random_​feature_​open_​access 

Workflow of AGMP: 1. Preparation. Load the data of training set and test set;. 2. Data processing. The random features for substrates were generated. And […]

IconCS-123 Cola Market 2015 Feature Tuning v05 

[Case Studies] CS-123 Cola Market 2015 Feature Tuning Adding a Tuning Loop to the Cola Market shows how Input Parameters can alter Feature values to […]

Iconworkflow_​lorenzo V2 

There has been no description set for this workflow's metadata.

IconGuided_​Analytics_​with_​Shared_​Components 

Guided Analytics with Shared Components - Preview --------------- !!! DISCLAIMER !!! --------------- These Components are not-verified Beta […]

IconLinear regression with autofeat engineered features-I 

Linear Regression with 'autofeat' Engineered Features This workflow demonstrates use of the component autofeat feature generator in feature generation. […]

IconRegression_​Plotter 

<p>Only keep the columns that are not selected</p>

IconAuto feature generation workflow 

Auto feature engineering workflow There are two workflows: One for data which is not large. Full (or 80% of data) can be used for training and rest for […]