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ML Associate Flashcards

Active recall study cards for the Databricks Certified Machine Learning Associate exam. Flip each card to reveal the answer, filter by domain, or shuffle for spaced repetition.

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ml-fundamentals

What is a Spark ML Estimator, and how does it differ from a Transformer?

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Answer

An Estimator is an algorithm that implements fit() and produces a Transformer when trained on data. A Transformer implements transform() to apply learned parameters to a DataFrame. Think: Estimator = recipe (needs training), Transformer = the trained result.

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