Deploy Clustering Model VI

Owning Palette: Clustering VIs

Requires: Analytics and Machine Learning Toolkit

Deploys a trained 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 input data.
	error out contains error information. This output provides standard error out functionality.

Example

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