Deploy Feature Manipulation Model VI

Owning Palette: Feature Manipulation VIs

Requires: Analytics and Machine Learning Toolkit

Deploys a trained feature manipulation model on deployment data.

Examples

	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.
	transformed data returns the data after feature manipulation.
	error out contains error information. This output provides standard error out functionality.

Examples

Refer to the following VIs for examples of using the Deploy Feature Manipulation Model VI:

• Feature Manipulation (Deployment) VI: labview\examples\AML\Feature Manipulation
• Classification (Deployment) VI: labview\examples\AML\Classification
• Clustering (Deployment) VI: labview\examples\AML\Clustering