Write a function called modelPrediction which accepts as its first argument a vector of coefficents $$ and a design matrix $x.$ The

function should return predictions of the form widehat$(y)=$exp$(x).$

Hint: Numpy implements the exponential using np$.$ exp.

Test your function by calling it with

$b=np.$ array $([1,2])$

X$=$np$.$ array$(\left[\begin{array}{ccc}1& 2& 3\\ 2& 3& 1\end{array}\right].$ T

$($It should give $[148\mathrm{.}41,2980\mathrm{.}96,148\mathrm{.}4)$