Apache Spark 2.x Cookbook

Adding my recommendations and then testing predictions

It is good to see the evaluation metric, but to make it more fun, let's add my recommendations as created in the preceding section and then make predictions on some interesting movies: 

1. Let's redo training by adding my recommendations to the training data:

        val myrecs = spark.createDataFrame(Seq(          (138494,1721,5,1489789319),          (138494,10,3,1489789319),          (138494,1,1,1489789319),          (138494,225,4,1489789319),          (138494,344,4,1489789319),          (138494,480,5,1489789319),          (138494,589,5,1489789319),          (138494,780,4,1489789319),          (138494,1049,4,1489789319)        )).toDF("userId","movieId","rating","timestamp").as[Rating]

2. Create a new training set by adding  myrecs to the training set:

 scala> val trainingWithMyRecs ...