Feature Extraction Node

A Feature Extraction node uses the Nonnegative Matrix Factorization (NMF) algorithm, to build models. There are two ways to extract features:

• Build a feature extraction model, using a Feature Extraction node.

• Use a Feature Extraction Query, one of the predictive queries.

If Oracle Data Miner is connected to Oracle Database 12c, a Feature Extraction node uses the PCA and SVD algorithms to build models.

A Feature Extraction Build can run in parallel.

This section contains the following topics:

• Default Behavior for Feature Extraction Node

• Create Feature Extraction Node

• Data for Feature Extraction Build

• Edit Feature Extraction Build Node

• Advanced Settings for Feature Extraction

• Feature Extraction Node Properties

• Feature Extraction Node Context Menu