I am serialising an already trained classifier on my Computer and I am trying to deserialize it on Android. However, when I try to deserialize it on my Android Device I see this log in the console:
W/System.err: java.io.InvalidClassException: weka.classifiers.meta.LogitBoost;
Incompatible class (SUID): weka.classifiers.meta.LogitBoost: static final long serialVersionUID =-1105660358715833753L;
but expected weka.classifiers.meta.LogitBoost: static final long
serialVersionUID =-3905660358715833753L;
W/System.err: at java.io.ObjectInputStream.verifyAndInit(ObjectInputStream.java:2336)
Not sure what to do. I have to mention that I am using a stripped version of WEKA available here.
This is my classifier class used to train and serialize the classifier on my computer:
public class ClassifierSerializer {
//variables//
public ClassifierSerializer(String classifierName,
String classifierParameters,
String dataSourceFile,
String outputFileName) {
this.classifierName = classifierName;
this.classifierParameters = classifierParameters;
this.dataSourceFile = dataSourceFile;
this.outputFileName = outputFileName;
}
/**
* Output the trained classifier to the specified file
*/
public void serialize() {
readFile();
train();
writeToFile();
}
private void train() {
classifier = AbstractClassifier.forName(classifierName, Utils.splitOptions(classifierParameters));
classifier.buildClassifier(dataset);
}
private void writeToFile() {
// Serialize classifier
FileOutputStream fileStream;
fileStream = new FileOutputStream(outputFileName);
ObjectOutputStream objectStream = new ObjectOutputStream(fileStream);
objectStream.writeObject(classifier);
objectStream.close();
fileStream.close();
}
}
This is how I am using it in my main method:
public static void main(String[] args) throws Exception {
String datasource = "C:\\Users\\Georgi\\Desktop\\HAR_training.arff";
ClassifierSerializer classifierSerializer = new ClassifierSerializer(
"weka.classifiers.meta.LogitBoost",
"-P 100 -L -1.7976931348623157E308 -H 1.0 -S 1 -I 10 -W weka.classifiers.trees.DecisionStump",
datasource,
"logit.data");
classifierSerializer.serialize();
}
And this is how I am deserializing it on Android (I have the fine in my assets folder):
private Classifier getClassifier() {
// Add logic to make a network call to download the trained offline model/classifier
String filename = "logit.data";
ObjectInputStream objectStream = new ObjectInputStream(getAssets().open(filename));
Object obj =objectStream.readObject();
if (obj instanceof Classifier) {
return (Classifier) obj;
} else {
return null;
}
}
I found out what was going on (kind of). I decided to replace the full weka.jar library in my InteliJ project on my PC with the same stripped version of the weka library that I am using on my Android Project. For some reason that solved the problem. I assume, the versions were a bit different and some change differences were causing the problem.