"pyspark dense" Code Answer's
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import pyspark.sql.functions as F import pyspark.sql.types as T #or: to_array = F.udf(lambda v: list([float(x) for x in v]), T.ArrayType(T.FloatType())) to_array = F.udf(lambda v: v.toArray().tolist(), T.ArrayType(T.FloatType())) df = df.withColumn('features', to_array('features'))
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