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From sachingoel0101 <...@git.apache.org>
Date Thu, 20 Aug 2015 13:20:13 GMT
Github user sachingoel0101 commented on a diff in the pull request:

--- Diff: docs/libs/ml/statistics.md ---
@@ -0,0 +1,69 @@
+---
+mathjax: include
+---
+<!--
+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
+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
+
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+Unless required by applicable law or agreed to in writing,
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+
+* This will be replaced by the TOC
+{:toc}
+
+## Description
+
+ The statistics utility provides features such as building histograms over data.
+
+## Methods
+
+ The Statistics utility provides two major functions: createHistogram and
+ createDiscreteHistogram.
+
+### Creating a histogram
+
+ There are two types of histograms:
+   1. **Continuous Histograms**: These histograms are formed on a data set X: DataSet[Double]
+   when the values in X are from a continuous range. These histograms support
+   quantile and sum  operations. Here quantile(q) refers to a value $x_q$ such
that $|x: x + \leq x_q| = q * |X|$. Further, sum(s) refers to the number of elements $x \leq s$,
which can
+    be construed as a cumulative probability value at $s$[Of course, *scaled* probability].
--- End diff --

The idea is, histograms are meant to represent a probability distribution, and there is
a very clear correspondence. A probability mass function corresponds to a discrete valued
histogram and a probability density function corresponds to a continuous valued histogram.

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