Why it matters

MLlib is legacy but you'll encounter it. Understanding shapes reading old code.

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The architecture

RDD-based: uses old RDD API.

Superseded by spark.ml.

MLlib statusMLlibRDD API, legacyspark.mlDataFrame, modernMigrationspark.ml preferredNew code should use spark.ml; MLlib in maintenance mode
MLlib vs spark.ml.
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How it works end to end

Some MLlib features not in spark.ml.

Interop: MLlib RDD ↔ spark.ml DataFrame conversion.

Migration: incremental to spark.ml.