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pyspark dense

Nasty Narwhal answered on October 14, 2020 Popularity 6/10 Helpfulness 2/10

answer pyspark dense

pyspark dense

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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'))

Popularity 6/10 Helpfulness 2/10 Language matlab

Source: stackoverflow.com

Tags: matlab pyspark

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