Troubleshoot ThingPredictor
The following table provides the list of errors that the ThingPredictor agent might return:
Error Message
Explanation
The data source field, data cannot be empty.
User has not provided any data.
The goal field, goalName cannot be empty.
goalName cannot be empty when importanFieldCount is > 0. User must check whether a valid goal name is provided.
The important field count field, importantFieldCount cannot be negative.
User should provide an importantFieldCount > 0.
There are no intervals found for the continuous field <FIELDNAME>in the pmml.
The PMML Data dictionary contains no interval for the continuous field.
There are no values found for the categorical string field <FIELDNAME>in the pmml.
The PMML Data dictionary contains no values for the categorical string field.
The pmml data dictionary does not contain the mining field <FIELDNAME>.
The PMML data dictionary does not contain the mining field.
PMML contains multiple models with the name <MODELNAME>.
The PMML contains multiple models for the specified modelName.
PMML contains no models with the name <MODELNAME>.
The PMML contains no models for the specified modelName.
PMML contains no models to score with.
The PMML does not contain any models.
Failed to score using given parameters.
This message is displayed for any other system-related errors.
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