Increase performance when calculating feature matrix?

Question

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

Answer 1

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.

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