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Answer: A transformer is an algorithm capable of converting one data frame into another data frame.
In the context of Spark ML, a transformer is an abstraction that includes feature transformers and learned models. Technically, it is an algorithm that transforms one data frame into another, usually by appending one or more columns.
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What is the correct definition of a Spark ML transformer?
A
A transformer is a learning algorithm that employs a data frame to train a model.
B
A transformer amalgamates multiple algorithms to transform an ML workflow.
C
A transformer is an evaluation tool utilized to assess the quality of a model.
D
A transformer is an algorithm capable of converting one data frame into another data frame.
E
A transformer is a hyperparameter grid that aids in training a model.