feature_storage
Table of Contents
Feature Storage
Numpy
In case of python-only solutions a clustering by an attribute like the category provides an efficient way to storage and retrieve features. With masking rows can be selected.
Memory-Mapped Numpy
Memorry mapped numpy arrays are pretty fast if using a fast SSD. Otherwise, it's limited by i/o speed. Multhreading also works but is very limited by i/o speed limits.
keywords: sqlite numpy database postgresql
feature_storage.txt · Last modified: 2024/04/11 14:23 by 127.0.0.1