To calculation the no square procession mxn, We deserve to use np.linalg.pinv(S), right here s is the data you desire to pass.
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For square procession we usage np.linalg.inv(S), The train station of a procession is such that if it is multiply by the original matrix, it results in identity matrix.
note: np is numpy
We can additionally use np.linalg.inv(S) for non square matrix however in stimulate to no get any kind of error you have to slice the data S.
For an ext details top top np.linalg.pinv : https://numpy.org/doc/stable/reference/generated/numpy.linalg.pinv.html
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edited Sep 5 at 13:59
reply Sep 4 at 12:03
Ramahanisha GundaRamahanisha Gunda
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