zhengruifeng created SPARK-28499:
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Summary: Optimize MinMaxScaler
Key: SPARK-28499
URL: https://issues.apache.org/jira/browse/SPARK-28499
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 3.0.0
Reporter: zhengruifeng
current impl of MinMaxScaler has some small places to be optimized:
1, avoid call param getter in udf.
If I remember correctly, there was some tickets and prs about this, calling
param getter in udf or map function, will significantly slow down the
computation.
2, for a constant dim, the transformed value is also a constant value, which
can be precomputed.
3, for a usual dim (i-th), the value is update by
values(i) = (values(i) - minArray(i)) / range(i) * scale + $(min)
here, we can precompute range * scale, so that a division can be skipped.
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