AML Neural Network Properties
- Updated2023-02-21
- 3 minute(s) read
AML Neural Network Properties
Wire the untrained neural network model output of the Initialize Classification Model (NN) VI to the reference input of a standard Property Node to get an AML Neural Network Property Node. This Property Node has the following properties:
| Property | Access | Data Type | Description |
|---|---|---|---|
| Cross Validation Configuration | Read Only |
|
Returns settings for cross validation. |
| H to O Coefficients | Read Only |
|
Returns the trained coefficients between the hidden layer and the output layer in the trained neural network model. The number of rows equals the number of output neurons. |
| Hyperparameters | Read Only |
|
If you select the Set Parameters instance of the Initialize Classification Model (NN) VI, this property returns the hyperparameters input of the VI. If you select the Search Parameters instance of the Initialize Classification Model (NN) VI, this property returns the optimal hyperparameters after 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. |
| I to H Coefficients | Read Only |
|
Returns the trained coefficients between the input layer and the hidden layer. The number of rows equals the number of hidden neurons. |
| 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. |
| Number of Input Neurons | Read Only |
|
Returns the number of input neurons. |
| Number of Output Neurons | Read Only |
|
Returns the number of output neurons. |
