Question: In this section, we will work with a cubic feature mapping which maps an input vector x = [ x _ 1 , . .

In this section, we will work with a cubic feature mapping which maps an input vector x=[x_1,..., x_d] into a new feature vector (x), defined so that for any x, x^' in ^d : (x)^T(x^')=(x^T x^'+1)^3 You will be working in the files part1/main.py and part1/features.py in this problem Computing Cubic Features 0.0/3.0 points (graded) In 2-D, let x=[x_1, x_2]. Write down the explicit cubic feature mapping (x) as a vector; i.e.,(x)=[f_1(x_1, x_2),, f_N(x_1, x_2)] Hint (x)= You have used 0 of 20 attempts

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