From 40942a7d8a9913cb4406a7661393bdd160b84690 Mon Sep 17 00:00:00 2001 From: Yuhao Yang Date: Mon, 3 Aug 2015 14:34:29 +0800 Subject: [PATCH] small update --- docs/ml-features.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/ml-features.md b/docs/ml-features.md index 4941312aecf7d..aa2f835cff073 100644 --- a/docs/ml-features.md +++ b/docs/ml-features.md @@ -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,