Briefly, this error occurs when Elasticsearch is unable to parse the model due to incorrect or incompatible data format. This could be due to a mismatch between the data type in the model and the actual data, or the model structure is incorrect. To resolve this issue, you can 1) Check and correct the data type in your model, 2) Validate the structure of your model, 3) Ensure that the data you’re trying to parse matches with the model’s structure and data type.
This guide will help you check for common problems that cause the log ” [” + modelId + “] failed to parse model ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin.
Log Context
Log “[” + modelId + “] failed to parse model” classname is TrainedModelProvider.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
// is a tree ensemble
builder.setModelType(TrainedModelType.TREE_ENSEMBLE);
}
return builder;
} catch (IOException e) {
logger.error(() -> "[" + modelId + "] failed to parse model"; e);
throw e;
}
}
private TrainedModelMetadata parseMetadataLenientlyFromSource(BytesReference source; String modelId) throws IOException {
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