stanfordnlp/CoreNLP · error · RuntimeException
Deserialization failed
Error message
Deserialization failed: ${e.getMessage()} What it means
RuntimeException wrapping any exception from LinearClassifier.readClassifier when deserializing a classifier from disk fails — typically a missing file, corrupt stream, or version-incompatible serialized object.
Solutions
- Verify loadPath exists and was produced by writeClassifier
- Use matching Stanford NLP versions for writing and reading
- Catch and retrain or load a backup model on failure
Defensive patterns
Strategy: fallback
When it happens
Trigger: Thrown at src/edu/stanford/nlp/classify/LinearClassifier.java:1334 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of stanfordnlp/CoreNLP@1b7edd19c4 (2026-09-10).
Data as JSON: /api/errors/97ee496b1e3934cb.
Report an issue: GitHub.
Appendix: source
Thrown at src/edu/stanford/nlp/classify/LinearClassifier.java:1334
public void setWeights(double[][] newWeights) {
weights = newWeights;
}
/**
* Loads a classifier from a file.
* Simple convenience wrapper for IOUtils.readFromString.
*/
public static <L, F> LinearClassifier<L, F> readClassifier(String loadPath) {
logger.info("Deserializing classifier from " + loadPath + "...");
try {
ObjectInputStream ois = IOUtils.readStreamFromString(loadPath);
LinearClassifier<L, F> classifier = ErasureUtils.<LinearClassifier<L, F>>uncheckedCast(ois.readObject());
ois.close();
return classifier;
} catch (Exception e) {
throw new RuntimeException("Deserialization failed: "+e.getMessage(), e);
}
}
/**
* Convenience wrapper for IOUtils.writeObjectToFile.
*/
public static void writeClassifier(LinearClassifier<?, ?> classifier, String serializePath) {
try {
IOUtils.writeObjectToFile(classifier, serializePath);
logger.info("Serializing classifier to " + serializePath + "... done.");
} catch (Exception e) {
throw new RuntimeException("Serialization failed: " + e.getMessage(), e);
}
}
/**
* Saves this out to a standard text file, instead of as a serialized Java object.
* NOTE: this currently assumes feature and weights are represented as Strings.View on GitHub (pinned to 1b7edd19c4)