MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
I want to limit the size of the growing EFDT, but its maxByteSizeOption is useless. The problem is that the calculation of the tree size (estimateModelByteSizes()) is only triggered by a method of the nested static inner class VFDT (trainOnInstanceImpl()). However, the VFDT, which is a subclass of EFDT, cannot be instantiated - not even with reflection as there is no constructor.
Hi there,
I want to limit the size of the growing EFDT, but its maxByteSizeOption is useless. The problem is that the calculation of the tree size (estimateModelByteSizes()) is only triggered by a method of the nested static inner class VFDT (trainOnInstanceImpl()). However, the VFDT, which is a subclass of EFDT, cannot be instantiated - not even with reflection as there is no constructor.
Best regards