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[SPARK-19797][DOC] ML pipeline document correction #17137

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[SPARK-19797][DOC] ML pipeline document correction #17137

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2 changes: 1 addition & 1 deletion docs/ml-pipeline.md
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Expand Up @@ -132,7 +132,7 @@ The `Pipeline.fit()` method is called on the original `DataFrame`, which has raw
The `Tokenizer.transform()` method splits the raw text documents into words, adding a new column with words to the `DataFrame`.
The `HashingTF.transform()` method converts the words column into feature vectors, adding a new column with those vectors to the `DataFrame`.
Now, since `LogisticRegression` is an `Estimator`, the `Pipeline` first calls `LogisticRegression.fit()` to produce a `LogisticRegressionModel`.
If the `Pipeline` had more stages, it would call the `LogisticRegressionModel`'s `transform()`
If the `Pipeline` had more `Estimator`s, it would call the `LogisticRegressionModel`'s `transform()`
method on the `DataFrame` before passing the `DataFrame` to the next stage.

A `Pipeline` is an `Estimator`.
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