Github user fobeligi commented on a diff in the pull request:
https://github.com/apache/flink/pull/798#discussion_r31894794
--- Diff: docs/libs/ml/minMax_scaler.md ---
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+---
+mathjax: include
+htmlTitle: FlinkML - MinMax Scaler
+title: <a href="../ml">FlinkML</a> - MinMax Scaler
+---
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements. See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership. The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
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+KIND, either express or implied. See the License for the
+specific language governing permissions and limitations
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+-->
+
+* This will be replaced by the TOC
+{:toc}
+
+## Description
+
+ The MinMax scaler scales the given data set, so that all values will lie
between a user specified range [min,max].
+ In case the user does not provide a specific minimum and maximum value
for the scaling range, the MinMax scaler transforms the features of the input
data set to lie in the [0,1] interval.
+ Given a set of input data $x_1, x_2,... x_n$, with minimum value:
+
+ $$x_{min} = min({x_1, x_2,..., x_n})$$
+
+ and maximum value:
+
+ $$x_{max} = max({x_1, x_2,..., x_n})$$
+
+The scaled data set $z_1, z_2,...,z_n$ will be:
+
+ $$z_{i}= \frac{x_{i} - x_{min}}{x_{max} - x_{min}} \left ( max - min
\right ) + min$$
+
+where $\textit{min}$ and $\textit{max}$ are the user specified minimum and
maximum values of the range to scale.
+
+## Operations
+
+`MinMaxScaler` is a `Transformer`.
+As such, it supports the `fit` and `transform` operation.
+
+### Fit
+
+MinMaxScaler is trained on all subtypes of `Vector` or `LabeledVector`:
+
+* `fit[T <: Vector]: DataSet[T] => Unit`
+* `fit: DataSet[LabeledVector] => Unit`
+
+### Transform
+
+MinMaxScaler transforms all subtypes of `Vector` or `LabeledVector` into
the respective type:
+
+* `transform[T <: Vector]: DataSet[T] => DataSet[T]`
+* `transform: DataSet[LabeledVector] => DataSet[LabeledVector]`
+
+## Parameters
+
+The MinMax scaler implementation can be controlled by the following two
parameters:
+
+ <table class="table table-bordered">
+ <thead>
+ <tr>
+ <th class="text-left" style="width: 20%">Parameters</th>
+ <th class="text-center">Description</th>
+ </tr>
+ </thead>
+
+ <tbody>
+ <tr>
+ <td><strong>Min</strong></td>
+ <td>
+ <p>
+ The minimum value of the range for the scaled data set. (Default
value: <strong>0.0</strong>)
+ </p>
+ </td>
+ </tr>
+ <tr>
+ <td><strong>Std</strong></td>
--- End diff --
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