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As described in the official documentation, these parameters are buffer sizes, in Mb. An inspection of the source code shows that the default values are 1024 and 1024. My colleague, Steven Puttemans, recommends setting both parameters to 2048, or even 4096, if you have enough memory available. In other words, traincascade should be able to take advantage of really large buffers.
I do not know how performance is affected by setting one buffer size larger than the other. If you end up running tests, please report your results.
