1 1 1 33 # Problem 30 34 35 def sparseVectorDotProduct(v1, v2): 36 37 Given two sparse vectors |v1| and 1v2], each represented as collections.defaultdit(float), return 38 their dot product. 39 You might find it useful to use sum) and a list comprehension. 40 This function will be useful later for linear classifiers. 41 42 # BEGIN_YOUR_CODE (our solution is 4 lines of code, but don't worry if you deviate from this) 43 raise Exception("Not implemented yet") 44 # END_YOUR_CODE 45