AML PCA T2Q Properties
- Updated2023-02-21
- 2 minute(s) read
AML PCA T2Q Properties
Wire the untrained PCA baseline model output of the Initialize Anomaly Detection Model (PCA T2Q) VI to the reference input of a standard Property Node to get an AML PCA T2Q 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 baseline model uses a subset of the eigenvectors of the covariance matrix to calculate the principal components in the input data. |
| Hyperparameters | Read Only |
|
Returns the hyperparameters of the PCA baseline model. |
| Model Initialized? | Read Only |
|
Returns whether the model is initialized. |
| Model Trained? | Read Only |
|
Returns whether the model is trained. |
| Mean Values | Read Only |
|
Returns the mean value of each feature in the training data. |
| Threshold for Q | Read Only |
|
Returns the threshold for Q based on confidence level. You can use the threshold for Q to determine whether the Q values of the data for deployment are abnormal. |
| Threshold for T2 | Read Only |
|
Returns the threshold for T2 based on confidence level. You can use the threshold for T2 to determine whether the T2 values of the data for deployment are abnormal. |
| Variance | Read Only |
|
Returns the variance of the principal components. The number of rows equals the number of principal components. |
