I want to try and recreate this functions from scratch (without using sklearn): # The matrix is M which is 1000x10 matrix. from sklearn.preprocessing import Po
Use map to evaluate a given polynomial at a specific x-value. Input: p: A list of coefficients for increasing powers of x x: The value of x to evaluate Output:
Given a symbolic multivariate polynomial P, I need to extract both its coefficients and corresponding monomials as lists: def poly_decomp(P): .... retu
elasticsearch-painless