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small update
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hhbyyh committed Aug 3, 2015
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Expand Up @@ -913,7 +913,7 @@ scaledData = scalerModel.transform(dataFrame)
* `min`: 0.0 by default. Lower bound after transformation, shared by all features.
* `max`: 1.0 by default. Upper bound after transformation, shared by all features.

`MinMaxScaler` is a `Model` which can be `fit` on a dataset to produce a `MinMaxScalerModel`; this amounts to computing summary statistics. The model can then transform each feature individually such that it is in the given range.
`MinMaxScaler` computes summary statistics on a data set and produces a `MinMaxScalerModel`. The model can then transform each feature individually such that it is in the given range.

The rescaled value for a feature E is calculated as,

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