Error codes in prediction model outputs
You can include an error field in the outputs of prediction models. It is useful for troubleshooting when decisions that use prediction models are executed.
The error fields contain an error code and a message.
| Code | Message | Description | Example |
|---|---|---|---|
| 602 | MAPPING_INPUT_EXCEPTION | An error occurred when transforming the input into JSON for the query to the machine learning provider. | An exception occurred while mapping prediction input for provider {0} with deploymentId {1} JSON processing exception: {0} |
| 603 | NULL_PREDICTION | Although the query to the machine learning provider was successful, no response was recovered. | A null prediction map was returned with deployment ID {0}, although the return was successful. |
| 606 | HTTP_RESPONSE_READING_ERROR | This error is returned when the response from the query to the machine learning provider might not be understood. | |
| 608 | GET_PREDICTION_MAP_ERROR | The response from the query to the machine learning provider cannot be mapped to the expected output schema. | |
| 609 | GET_PROVIDER_ERROR | This error is returned when the machine learning provider cannot be found in the runtime environment. | The provider "{0}" has not been found. |
| 610 | NULL_RUN_CONTEXT_ERROR | The run context was not passed to the prediction call. | The run context was null. |
| 611 | GET_PROVIDER_INFO_ERROR | The providerInfo.json file was not found at prediction time or is in the wrong type. | The provider information "{0}" was not found. The provider information "{0}" is not of the "{1}" type. |
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