code: def classifierPredict(testVector, storedVectors):
    
    numClasses = storedVectors.shape[0]
    output = np.zeros((numClasses,))
  
    for i in range(numClasses):
      output[i] = np.sum(np.minimum(testVector, storedVectors[i, :]))
    return output
docs: Return overlap of the testVector with stored representations for each object.