AML Neural Network Properties

LabVIEW 2018 Analytics and Machine Learning Toolkit Help

Edition Date: July 2018

Part Number: 377059B-01

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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.

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