Briefly, this error occurs when Elasticsearch is unable to parse the vocabulary of a trained machine learning model. This could be due to a corrupted or incompatible model, or issues with the model’s vocabulary. To resolve this, you can try retraining your model with the correct parameters, ensure the model’s vocabulary is compatible with your Elasticsearch version, or check for any corruption in the model’s files. If the error persists, consider using a different model or updating your Elasticsearch version.
This guide will help you check for common problems that cause the log ” failed to parse trained model vocabulary [” + hit.getId() + “] ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “failed to parse trained model vocabulary [” + hit.getId() + “]” classname is DeploymentManager.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
stream
)
) {
return Vocabulary.PARSER.apply(parser; null);
} catch (IOException e) {
logger.error(() -> "failed to parse trained model vocabulary [" + hit.getId() + "]"; e);
throw e;
}
}
public void stopDeployment(TrainedModelDeploymentTask task) {
