0 votes
1 view
in Data Science by (17.6k points)

Does calculate_feature_matrix use any libraries such as numba to increase performance?

1 Answer

0 votes
by (38.2k points)
edited by

Calculate_feature_matrix  only uses functions from Pandas/Numpy/Scipy for increasing performance over raw Python and  numba or cython helps specifically in PandasBackend class and in individual feature computation functions.It’s complexity is more for installation because it requires a compiled C code or a C compiler. 

Due to this complexity it is low in our priority list. So, we are focused on scaling our small datasets  towards larger datasets which demands parallelization rather than subroutine optimization.

If you want to know more about Machine Learning then watch this video:

Gain practical exposure with data science projects in Intellipaat's Data Science course online.

Welcome to Intellipaat Community. Get your technical queries answered by top developers !


Categories

...