Data Preparation for SVD

Prepare data for Singular Value Decomposition using Automatic Data Preparation for numerical and categorical attributes.

When the build data is scored with SVD, Automatic Data Preparation does nothing. When the build data is scored with Principal Component Analysis (PCA), Automatic Data Preparation shifts the numerical data by mean.

Missing value treatment is not needed, because Oracle Machine Learning algorithms handle missing values automatically. SVD replaces numerical missing values with the mean and categorical missing values with the mode. For sparse data (missing values in nested columns), SVD replaces missing values with zeros.