Comments (2)
Thank you.
I had thought about online learning algos, but this would require many of the algorithms to be re-written . The short answer is I don't plan to do this, but if there is demand for it I could consider it.
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Just a note to say that vowpal wabbit (that supports online learning) has now been added. Although the training happens online, StackNet will still require to put data into memory. In any case, it should use less memory than other methods.
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Related Issues (20)
- Something wrong with labeling in classifier HOT 2
- Gini for metric output HOT 1
- java.lang.IllegalStateException: Tree is not fitted HOT 1
- Amazon example
- How to convert sklearn sparse matrix to libsvm format? HOT 1
- Do the meta classifiers (learners) learn on the predicted probabilities of the base learners or the class labels predicted by the base learners? HOT 2
- likelihood encoding and stacking HOT 1
- java.lang.OutOfMemoryError: GC overhead limit exceeded HOT 2
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- Pilon terminated with "Exception in thread "main" java.lang.reflect.InvocationTargetException" error
- Exception in thread "main" java.lang.reflect.InvocationTargetException HOT 2
- Where to include the target labels of the dataset? HOT 1
- can't figure this error out? HOT 6
- Explanation of (double) HOT 1
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- Fail to train a regression task? HOT 5
- README: Missing information
- Help please HOT 1
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