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from pyspark.ml.evaluation import RegressionEvaluator | |
from pyspark.ml.recommendation import ALS | |
from pyspark.sql import Row | |
lines = spark.read.text("TEXT_FILE.txt").rdd | |
parts = lines.map(lambda row: row.value.split("::")) | |
liked_data = parts.map(lambda p: Row(COLUMN_1, COLUMN_2, like=like) | |
liked_df = spark.createDataFrame(liked_data) | |
(training, test) = liked_df.randomSplit([0.75, 0.25]) | |
als = ALS(maxIter=4, regParam=0.05, users="COLUMN_1", items="COLUMN_2", ratingCol="like", | |
coldStartStrategy="drop") | |
model = als.fit(training) | |
predictions = model.transform(test) | |
evaluator = RegressionEvaluator(metricName="rmse", labelCol="like", | |
predictionCol="prediction") | |
rmse = evaluator.evaluate(predictions) | |
print("RMSE = " + str(rmse)) | |
videoRecs = model.recommendForUsers(20) |
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