Start » Filter Reference » Data Classification » Multilayer Perceptron » MLP_Respond
Module: | FoundationPro |
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Calculates multilayer perceptron answer.
Name | Type | Description | |
---|---|---|---|
inMlpModel | MlpModel | Trained MlpModel object | |
inInputVector | RealArray | Input vector of features used to calculate classifier response | |
outResponseVector | RealArray | Calculated response |
Description
The operation calculates response of multilayer perceptron classifier for the input data provided in inInputVector.
The parameter inInputVector size must be equal to trained MlpModel input count. Input count is set in MLP_Init.
The operation result outResponseVector is size of output count provided during MlpModel initializing operation.
Image: Visualization of MLP_Respond filter.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Incorrect or uninitialized MlpModel in MLP_Respond. |
Complexity Level
This filter is available on Expert Complexity Level.