AML PCA Properties
- Updated2023-02-21
- 2 minute(s) read
Wire the PCA model info output of the PCA VI to the reference input of a standard Property Node to get an AML PCA 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 PCA model uses a subset of the eigenvectors of the covariance matrix to calculate the principal components in the input data. |
| Mean Values | Read Only |
|
Returns the mean values of all features in the data. |
| Number of Selected Components | Read Only |
|
Returns the number of principal components, when you perform one shot training. |
| PCA Settings | Read Only |
|
Returns the method and value to calculate the number of principal components, when you perform one shot training. |
| Variance | Read Only |
|
Returns the variance of the principal components. The number of rows equals the number of principal components. |
