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Is your feature request related to a problem? Please describe.
SVM currently uses column major input matrices. Row major input needs to be transposed which is done by creating a copy of the feature matrix in column major format. This increases the memory consumption of SVM.
Describe the solution you'd like
Implement support for row major feature matrix.
Additional context
Since the memory layout only enters only during the kernel matrix calculation, one could implement support for row major input with a relatively small effort.
The text was updated successfully, but these errors were encountered:
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This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.
Is your feature request related to a problem? Please describe.
SVM currently uses column major input matrices. Row major input needs to be transposed which is done by creating a copy of the feature matrix in column major format. This increases the memory consumption of SVM.
Describe the solution you'd like
Implement support for row major feature matrix.
Additional context
Since the memory layout only enters only during the kernel matrix calculation, one could implement support for row major input with a relatively small effort.
The text was updated successfully, but these errors were encountered: