Deploy Classification Model VI

Owning Palette: Classification VIs

Requires: Analytics and Machine Learning Toolkit

Deploys a trained classification model and returns predicted labels of input data.

Example

	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.

Example

Refer to the Classification (Deployment) VI in the labview\examples\AML\Classification directory for an example of using the Deploy Classification Model VI.