Decomposition
| Class | Definition |
|---|---|
| MCA | Creates a MCA (Multiple correspondence analysis) object using the Vertica PCA algorithm on the data. |
| PCA | Creates a PCA (Principal Component Analysis) object by using the Vertica Highly Distributed and Scalable PCA on the data. |
| SVD | Creates a SVD (Singular Value Decomposition) object by using the Vertica Highly Distributed and Scalable SVD on the data. |
Preprocessing & Density Estimation
| Class / Function | Definition |
|---|---|
| Balance | Creates a view with an equal distribution of the input data based on the response_column. |
| CountVectorizer | Creates a Text Index which will count the occurences of each word in the data. |
| KernelDensity | Creates a KernelDensity object. |
| Normalizer | Creates a Vertica Normalizer object. |
| OneHotEncoder | Creates a Vertica OneHotEncoder object. |
