ComenzarEmpieza gratis

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.

Este ejercicio forma parte del curso

Building Recommendation Engines with PySpark

Ver curso

Instrucciones del ejercicio

  • 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]

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

# Complete the lists below
ranks = [____, ____, ____, ____]
maxIters = [____, ____, ____, ____]
regParams = [____, ____, ____]
alphas = [____, ____, ____, ____]
Editar y ejecutar código