Error 0013

 

Updated: September 21, 2017

Error 0013

Exception occurs if the learner passed to the module is an invalid type.

This error occurs whenever a trained model is incompatible with the connected scoring module. For example, connecting the output of Train Matchbox Recommender to Score Model (instead of Score Matchbox Recommender) will generate this error when the experiment is run.

Determine the type of learner that is produced by the training module, and determine the scoring module that is appropriate for the learner.

If the model was trained using any of the specialized training modules, connect the trained model only to the corresponding specialized scoring module.

Model typeTraining moduleScoring module
any classifierTrain Model or Tune Model HyperparametersScore Model
any regression modelTrain Model or Tune Model HyperparametersScore Model
clustering modelsTrain Clustering Model or Sweep ClusteringAssign Data to Clusters
anomaly detection - One-Class SVMTrain Anomaly Detection ModelScore Model
anomaly detection - PCATrain Model or Tune Model HyperparametersScore Model 
Some additional steps are required to evaluate the model.
anomaly detection - time seriesTime Series Anomaly DetectionModel trains from data and generates scores. The module does not create a trained learner and no additional scoring is required.
recommendation modelTrain Matchbox RecommenderScore Matchbox Recommender
image classificationPretrained Cascade Image ClassificationScore Model
Vowpal Wabbit modelsTrain Vowpal Wabbit Version 7-4 ModelScore Vowpal Wabbit Version 7-4 Model
Vowpal Wabbit modelsTrain Vowpal Wabbit Version 7-10 ModelScore Vowpal Wabbit Version 7-10 Model
Vowpal Wabbit modelsTrain Vowpal Wabbit Version 8 ModelScore Vowpal Wabbit Version 8 Model
Exception Messages
Learner of invalid type is passed.
Learner "{0}" has invalid type.

Module Error Codes

Show: