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When using random forest, for example, every time the model is trained it results in a slightly different prediction.
Would be import to train the model for the first time, save the model in a file using serialization, and then use this saved version to always get the same results
For that to work, all classes must the serializable
The text was updated successfully, but these errors were encountered:
XStream xstream = new XStream();
String xml = xstream.toXML(myObject); // serialize to XML
Object myObject2 = xstream.fromXML(xml); // deserialize from XML
When using random forest, for example, every time the model is trained it results in a slightly different prediction.
Would be import to train the model for the first time, save the model in a file using serialization, and then use this saved version to always get the same results
For that to work, all classes must the serializable
The text was updated successfully, but these errors were encountered: