Specify ALS hyperparameters
You're now going to build your first implicit rating recommendation engine using ALS. To do this, you will first tell Spark what values you want it to try when finding the best model.
Four empty lists are provided below. You will fill them with specific values that Spark can use to build several different ALS models. In the next exercise, you'll tell Spark to build out these models using the lists below.
Deze oefening maakt deel uit van de cursus
Building Recommendation Engines with PySpark
Oefeninstructies
- Fill in the following lists with the following values:
ranks = [10, 20, 30, 40]maxIters = [10, 20, 30, 40]regParams = [.05, .1, .15]alphas = [20, 40, 60, 80]
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Complete the lists below
ranks = [____, ____, ____, ____]
maxIters = [____, ____, ____, ____]
regParams = [____, ____, ____]
alphas = [____, ____, ____, ____]