Enhanced machine learning library tailored for data streams, featuring a Python API integrated with MOA backend support. This unique combination empowers users to leverage a wide array of existing algorithms efficiently while fostering the development of new methodologies in both Python and Java.
Add a subtest to check loading/saving every model works.
Adds a workaround for https://github.com/jpype-project/jpype/issues/1201. Avoids the buffer overflow by allocating a new output object stream for each object. The bug only arises when the same stream is reused.
There is a possibility that models saved with this patch won't work when jpype is fixed.