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[DOCUMENTATION][MLLIB] typo in mllib doc #10093

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[DOCUMENTATION][MLLIB] typo in mllib doc #10093

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[DOCUMENTATION][MLLIB] typo in mllib doc
zjffdu Dec 2, 2015
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zjffdu Dec 3, 2015
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2 changes: 1 addition & 1 deletion docs/ml-features.md
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Expand Up @@ -1232,7 +1232,7 @@ lInfNormData = normalizer.transform(dataFrame, {normalizer.p: float("inf")})
* `withStd`: True by default. Scales the data to unit standard deviation.
* `withMean`: False by default. Centers the data with mean before scaling. It will build a dense output, so this does not work on sparse input and will raise an exception.

`StandardScaler` is a `Model` which can be `fit` on a dataset to produce a `StandardScalerModel`; this amounts to computing summary statistics. The model can then transform a `Vector` column in a dataset to have unit standard deviation and/or zero mean features.
`StandardScaler` is an `Estimator` which can be `fit` on a dataset to produce a `StandardScalerModel`; this amounts to computing summary statistics. The model can then transform a `Vector` column in a dataset to have unit standard deviation and/or zero mean features.

Note that if the standard deviation of a feature is zero, it will return default `0.0` value in the `Vector` for that feature.

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