Part 1 First, implement a function that computes the summand (w x - y)x,, and test this function on two examples. Use (Vectors (https://spark.apache.org/docs/latest/api/scala/org/apache/spark/millib/linalg/Vectors$. to create dense vectors w and use

(Labeled Point (https://spark.apache.org/docs/latest/api/scala/org/apache/spark/mllib/regression/Labe to create training dataset with 3 features. You can also use (Breeze (https://github.com/scalanlp/breeze)) to do the dot product.