Explanation:
In Spark ML, a transformer is an abstraction that encompasses both feature transformers and learned models. It operates by transforming one DataFrame into another, typically through the addition of one or more columns.
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In the realm of Spark ML, what best describes a transformer?
A
A distributed computing engine designed for processing large-scale data.
B
A utility for creating data visualizations within Spark.
C
A mechanism that abstracts feature transformers and learned models, converting one DataFrame into another by adding columns.
D
An algorithm dedicated to learning models within Spark.