Motivation
As discussed in #716 and others, it makes sense to analyse the current data-storing functionalities and processes in MLPro to be compatible with big data files, especially for data storing and loading, bf-streams, computer vision, supervised learning, and many more.
For big data, we don't need to buffer every single data, but maybe on-demand per stream
Motivation As discussed in #716 and others, it makes sense to analyse the current data-storing functionalities and processes in MLPro to be compatible with big data files, especially for data storing and loading, bf-streams, computer vision, supervised learning, and many more.
For big data, we don't need to buffer every single data, but maybe on-demand per stream
Benefit ...
Are the proposed changes backward compatible?
Related development objects