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.

Resolution

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 type	Training module	Scoring module
any classifier	Train Model or Tune Model Hyperparameters	Score Model
any regression model	Train Model or Tune Model Hyperparameters	Score Model
clustering models	Train Clustering Model or Sweep Clustering	Assign Data to Clusters
anomaly detection - One-Class SVM	Train Anomaly Detection Model	Score Model
anomaly detection - PCA	Train Model or Tune Model Hyperparameters	Score Model Some additional steps are required to evaluate the model.
anomaly detection - time series	Time Series Anomaly Detection	Model trains from data and generates scores. The module does not create a trained learner and no additional scoring is required.
recommendation model	Train Matchbox Recommender	Score Matchbox Recommender
image classification	Pretrained Cascade Image Classification	Score Model
Vowpal Wabbit models	Train Vowpal Wabbit Version 7-4 Model	Score Vowpal Wabbit Version 7-4 Model
Vowpal Wabbit models	Train Vowpal Wabbit Version 7-10 Model	Score Vowpal Wabbit Version 7-10 Model
Vowpal Wabbit models	Train Vowpal Wabbit Version 8 Model	Score Vowpal Wabbit Version 8 Model

Exception Messages
Learner of invalid type is passed.
Learner "{0}" has invalid type.

Error 0013

Resolution

See Also