AML KPCA Properties
- Updated2023-02-21
- 2 minute(s) read
Wire the KPCA model info output of the KPCA VI to the reference input of a standard Property Node to get an AML KPCA Property Node. This Property Node has the following properties:
| Property | Access | Data Type | Description |
|---|---|---|---|
| Eigenvectors | Read Only |
|
Returns the eigenvectors to calculate the principal components. The number of rows equals the number of features of the training data. The KPCA model uses a subset of the eigenvectors of the covariance matrix to calculate the principal components in the input data. |
| Kernel Settings | Read Only |
|
Returns the settings to configure the kernel function. |
| Number of Selected Components | Read Only |
|
Returns the number of principal components. |
| PCA Settings | Read Only |
|
Returns the method and value to calculate the number of principal components. |
| Source Data | Read Only |
|
Returns the training data for the KPCA model. |
| Variance | Read Only |
|
Returns the variance of the principal components. The number of rows equals the number of principal components. |
