AML Logistic Regression Properties
- Updated2023-02-21
- 2 minute(s) read
Wire the untrained logistic regression model output of the Initialize Classification Model (LR) VI to the reference input of a standard Property Node to get an AML Logistic Regression Property Node. This Property Node has the following properties:
| Property | Access | Data Type | Description |
|---|---|---|---|
| Coefficients | Read Only |
|
Returns the trained coefficients of the trained logistic regression model. The array size equals the number of classes. |
| Cross Validation Configuration | Read Only |
|
Returns settings for cross validation. |
| Hyperparameters | Read Only |
|
If you select the Set Parameters instance of the Initialize Classification Model (LR) VI, this property returns the hyperparameters input of the VI. If you select the Search Parameters instance of the Initialize Classification Model (LR) VI, this property returns the optimal hyperparameters after the Train Classification Model VI completes grid search. |
| Hyperparameter Grids | Read Only |
|
Returns multiple values for each hyperparameter. |
| Hyperparameter Optimization | Read Only |
|
Returns the method of optimization to determine the optimal hyperparameter settings. |
| Label of Each Class | Read Only |
|
Returns the label of each class. |
| Model Initialized? | Read Only |
|
Returns whether the model is initialized. |
| Model Trained? | Read Only |
|
Returns whether the model is trained. |
| Number of Classes | Read Only |
|
Returns the number of classes. |
