|Download Help (Windows Only)|
Owning Palette: Classification VIs
Requires: Analytics and Machine Learning Toolkit
Deploys a trained classification model and returns predicted labels of input data.
|model in specifies the information about the entire workflow of the model.|
|error in describes error conditions that occur before this node runs. This input provides standard error in functionality.|
|model out returns the information about the entire workflow of the model. Wire model out to the reference input of a standard Property Node to get an AML Analytics Property Node.|
|predicted labels returns the predicted labels of the data for deployment.|
|predicted probabilities returns the predicted probability for each class. |
If you specify different weights for the SVM model using weighted c in the Initialize Classification Model (SVM) VI, this VI does not return predicted probabilities.
|error out contains error information. This output provides standard error out functionality.|
Refer to the Classification (Deployment) VI in the labview\examples\AML\Classification directory for an example of using the Deploy Classification Model VI.