The correct statement is D. An estimator is an algorithm which can be fit on a DataFrame to produce a Transformer
In Spark MLlib, an estimator is a machine learning algorithm or pipeline stage that is used to fit a model to data. When you call the fit method on an estimator with a DataFrame, it produces a transformer. The transformer can then be used to transform a DataFrame, typically by adding predictions or other derived values.
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