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Owning Palette: Clustering VIs
Requires: Analytics and Machine Learning Toolkit
Evaluates a trained clustering model with training data or new test data.
|model in specifies the information about the entire workflow of the model.|
|predicted labels specifies the predicted labels of training data or test data.|
|evaluation metric specifies the criterion to evaluate the trained clustering 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.|
|metric returns the metric you selected in evaluation metric.|
|error out contains error information. This output provides standard error out functionality.|