Hi,
I encounter a problem when I apply an AdaptiveLogisicRegression model that
I have loaded from a binary file.
Indeed, the AdaptiveLogisicRegression object I load is not the same object
than the one I saved using the ModelSerializer class : for instance, the
Beta matrix of the OnlineLogisticRegression objects which are contained in
the AdaptiveLogisticRegression object are very different than those I have
saved.
I tried to use the ModelSerialiser class, then the write() and read()
methods from the AdaptiveLogisticRegression object, but I have always had
the same bad results.
Is there a bug during the model (de)serialization I should have heard about
Thanks,
Reno
I encounter a problem when I apply an AdaptiveLogisicRegression model that
I have loaded from a binary file.
Indeed, the AdaptiveLogisicRegression object I load is not the same object
than the one I saved using the ModelSerializer class : for instance, the
Beta matrix of the OnlineLogisticRegression objects which are contained in
the AdaptiveLogisticRegression object are very different than those I have
saved.
I tried to use the ModelSerialiser class, then the write() and read()
methods from the AdaptiveLogisticRegression object, but I have always had
the same bad results.
Is there a bug during the model (de)serialization I should have heard about
Thanks,
Reno