from pyspark.ml.param import Param learning_rate = Param( "learning_rate", "learning rate for gradient descent", "double", default=0.1 )
from pyspark.ml.recommendation import ALS als = ALS( userCol="user", itemCol="item", ratingCol="rating" ) als.setMaxIter(10) als.setRegParam(0.1)In the first example, we define a learning_rate parameter with a double data type and a default value of 0.1. In the second example, we use the ALS algorithm and set its maxIter and regParam parameters. These examples demonstrate how the PySpark.ml.param Param class is used to define and set parameters for machine learning algorithms. The PySpark.ml.param module is part of the PySpark machine learning library.