"pyspark dense" Code Answer's
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pyspark dense
Nasty Narwhal
on Oct 14, 2020
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'))
Source: stackoverflow.com
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