This is an automated email from the ASF dual-hosted git repository.
git-site-role pushed a commit to branch asf-site
in repository
https://gitbox.apache.org/repos/asf/incubator-datasketches-website.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 003f05e Automatic Site Publish by Buildbot
003f05e is described below
commit 003f05e16f641a9ad520ff8672ae49e0156daca6
Author: buildbot <[email protected]>
AuthorDate: Tue Mar 17 01:08:40 2020 +0000
Automatic Site Publish by Buildbot
---
output/README.md | 47 +------
output/docs/Architecture/KeyFeatures.html | 71 ++++++-----
.../Transitioning.html} | 141 ++++++++-------------
output/docs/Community/index.html | 6 +
output/docs/Quantiles/QuantilesOverview.html | 12 +-
5 files changed, 109 insertions(+), 168 deletions(-)
diff --git a/output/README.md b/output/README.md
index 9095437..8a3591e 100644
--- a/output/README.md
+++ b/output/README.md
@@ -30,51 +30,8 @@ Apache DataSketches is an open source, high-performance
library of stochastic st
* [How to contact us](https://datasketches.apache.org/docs/Community) Help us
help you by contacting us!
----
+* If you were a user of our library from our previous GitHub Site please refer
to this
[Transitioning](https://datasketches.apache.org/docs/Community/Transistioning.html)
page.
-After 8 years of development and 5 years as in Open Source, we have begun the
important migration from a stand-alone GitHub site to being a member of the
[Apache Software Foundation](https://apache.org) community. While we undergo
this migration, we beg your patience.
-
-As the repositories under GitHub.io/DataSketches migrate they will disapear
from the the GitHub.com/DataSketches organization page. Please refer to this
list be directed to the new locations.
-
-View all of our Apache DataSketches repository components as a
[list](https://github.com/apache?utf8=%E2%9C%93&q=datasketches)
-
-**Note** The following names in **BOLD** are of the old
github.com/datasketches/ organization repositories.
-
-* Web Site and Web Site Source
- * **datasketches.github.io** moved to
[datasketches.apache.org](https://datasketches.apache.org)
- * **github.com/DataSketches/DataSketches.github.io** moved to
[github.com/apache/incubator-datasketches-website](https://github.com/apache/incubator-datasketches-website)
-
-* Java Core
- * **sketches-core** moved to
[incubator-datasketches-java](https://github.com/apache/incubator-datasketches-java)
This is the **core** library that contains all sketch algorithms written in
Java.
- * **memory** moved to
[incubator-datasketches-memory](https://github.com/apache/incubator-datasketches-memory)
Low-level component used by other java components.
-
-* Java Adaptors
- * **sketches-hive** moved to
[incubator-datasketches-hive](https://github.com/apache/incubator-datasketches-hive)
Adapts the Java core to Apache Hive.
- * **sketches-pig** moved to
[incubator-datasketches-pig](https://github.com/apache/incubator-datasketches-pig)
Adapts the Java core to Apache Pig.
- * **sketches-vector** moved to
[incubator-datasketches-vector](https://github.com/apache/incubator-datasketches-vector)
Experimental sketches for vector and matrix processing.
- * [Apache Druid
adaptors](https://github.com/apache/druid/tree/master/extensions-core/datasketches)
-
-* C++ / Python Core
- * **sketches-core-cpp** moved to
[incubator-datasketches-cpp](https://github.com/apache/incubator-datasketches-cpp)
This is the **core** library that contains all major sketch algorithms written
in C++ and Python.
-
-* C++ Adaptors
- * **sketches-postgres** moved to
[incubator-datasketches-postgresql](https://github.com/apache/incubator-datasketches-postgresql)
Adapts the C++ core to PostgreSQL.
-
-* Java and C++
- * **characterization** moved to
[incubator-datasketches-characterization](https://github.com/apache/incubator-datasketches-characterization)
Java and C++ Characterization suites for benchmarking and exhaustive testing.
-
-* Obsolete Components
- * [sketches-android](https://github.com/DataSketches/sketches-android) An
experimental proof-of-concept sketch for the Android cell-phone.
- * [sketches-misc](https://github.com/DataSketches/sketches-misc)
- * [experimental](https://github.com/DataSketches/experimental)
- *
[characterization-cpp](https://github.com/DataSketches/characterization-cpp)
- * [experimental-cpp](https://github.com/DataSketches/experimental-cpp)
-
-* Command Line Functions (Mostly obsolete. These may move to Apache later or
replaced by Python)
- *
[homebrew-sketches-cmd](https://github.com/DataSketches/homebrew-sketches-cmd)
- * [sketches-cmd](https://github.com/DataSketches/sketches-cmd)
- * [homebrew-sketches](https://github.com/DataSketches/homebrew-sketches)
-
------
+----
Disclaimer: Apache DataSketches is an effort undergoing incubation at The
Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation
is required of all newly accepted projects until a further review indicates
that the infrastructure, communications, and decision making process have
stabilized in a manner consistent with other successful ASF projects. While
incubation status is not necessarily a reflection of the completeness or
stability of the code, it does indicate [...]
diff --git a/output/docs/Architecture/KeyFeatures.html
b/output/docs/Architecture/KeyFeatures.html
index 7be6268..f1fcbcc 100644
--- a/output/docs/Architecture/KeyFeatures.html
+++ b/output/docs/Architecture/KeyFeatures.html
@@ -485,19 +485,23 @@
<ul>
<li>Please refer to the <a
href="/docs/Architecture/SketchCriteria.html">Sketch Criteria</a> for the
criteria for sketches to be included in the library.</li>
<li>Query results are <b>approximate</b> but within well defined error
bounds that are user
- configurable by trading off sketch size with accuracy.</li>
+configurable by trading off sketch size with accuracy.</li>
<li>Designed for <a href="/docs/LargeScale.html">Large-scale</a> computing
environments
- that must handle <b>Big Data</b>.( e.g.,
+that must handle <b>Big Data</b>, e.g.,
<a href="https://hadoop.apache.org/";>Hadoop</a>,
<a href="https://pig.apache.org/";>Pig</a>,
<a href="https://hive.apache.org/";>Hive</a>,
-<a href="https://druid.io";>Druid</a>,
-<a href="https://spark.apache.org";>Spark</a>),
-and are heavily used within Yahoo / Verizon-Media.</li>
+<a href="https://druid.apache.org";>Druid</a>,
+<a href="https://spark.apache.org";>Spark</a>.</li>
<li><b>Maven deployable</b> and registered with
<a href="https://search.maven.org/#search|ga|1|DataSketches">The Central
Repository</a>.</li>
- <li>Comprehensive <b>unit tests</b> and testing tools are provided.</li>
<li>Extensive documentation with the systems developer in mind.</li>
+ <li>Designed for production environments:
+ <ul>
+ <li>Available in multiple languages: Java, C++, Python</li>
+ <li>Binary compatible across systems and languages</li>
+ </ul>
+ </li>
</ul>
<h3 id="built-in-general-purpose-functions">Built-In, General Purpose
Functions</h3>
@@ -508,24 +512,27 @@ This enables systems designers the ability to manage
their own large data heaps
dedicated processor threads that would otherwise put undue pressure on the
Java heap and
its garbage collection.</li>
<li>General purpose implementaion of Austin Appleby’s 128-bit MurmurHash3
algorithm,
- with a number of useful extensions.</li>
+with a number of useful extensions.</li>
</ul>
<h3 id="robust-high-quality-implementations">Robust, High Quality
Implementations.</h3>
-
<ul>
- <li>Extensive test code leveraging <a
href="https://testng.org";>TestNG</a>.</li>
- <li>Speed and accuracy performance characterization testing code
- included in the <a
href="https://github.com/DataSketches/sketches-misc";>sketches-misc</a>
repository.</li>
- <li>High Test Code coverage (
-<a href="">Core</a>,
-<a
href="https://github.com/apache/incubator-datasketches-pig/blob/master/README.md";>Pig</a>,
-<a
href="https://github.com/apache/incubator-datasketches-hive/blob/master/README.md";>Hive</a>,)
as measured by
+ <li>Unit Tests:
+ <ul>
+ <li>Extensive test code leveraging <a
href="https://testng.org";>TestNG</a>.</li>
+ <li>High Test Code coverage (> 90%) as measured by
<a href="https://www.eclemma.org/jacoco/";>JaCoCo</a> and published by
<a href="https://coveralls.io";>Coveralls</a>.</li>
+ </ul>
+ </li>
+ <li>Reproducible Characterization Studies
+ <ul>
+ <li>All our published speed and accuracy performance results can be
reproduced using the code included in the
+<a
href="https://github.com/apache/incubator-datasketches-characterization";>characterization</a>
repository.</li>
+ </ul>
+ </li>
<li>Comprehensive Javadocs that satisfy
-<a href="https://www.oracle.com/technetwork/java/index.html";>Java JDK8</a>
standards.</li>
- <li>Suitable for production environments.</li>
+<a
href="https://docs.oracle.com/javase/8/docs/technotes/guides/javadoc/index.html";>JDK8
Javadoc</a> standards.</li>
</ul>
<h3 id="opportunities-to-extend">Opportunities to Extend</h3>
@@ -543,36 +550,36 @@ its garbage collection.</li>
<ul>
<li><b>Estimating cardinality</b> of a stream with many duplicates</li>
<li>Performing <a href="/docs/Theta/ThetaSketchSetOps.html">set
operations</a> (e.g., Union, Intersection,
- and Difference) on sets of unique identifiers</li>
+and Difference) on sets of unique identifiers</li>
<li>Estimates of the <b>error bounds</b> of the result can be obtained
directly from the result sketch</li>
- <li>Two families of Count Unique algorithms:
- <ul>
- <li><a href="/docs/Theta/ThetaSketchFramework.html">The Theta Sketch
Framework</a> algorithms that are tuned
-for operation on the java heap or off-heap.</li>
- <li><a href="/docs/HLL/HLL.html">The Hyper-Log Log algorithms</a> when
sketch size is of utmost concern.</li>
- </ul>
- </li>
+</ul>
+
+<h4 id="four-families-of-count-unique-algorithms">Four families of Count
Unique algorithms:</h4>
+
+<ul>
+ <li><a href="/docs/HLL/HLL.html">The HLL sketch</a>. The famous HyperLogLog
algorithm when stored sketch size is of utmost concern.</li>
+ <li><a href="/docs/CPC/CPC.html">The CPC sketch</a>. The Compressed
Probabilistic Counting algorithm when maximizing accuracy per stored sketch
size is of utmost concern.</li>
+ <li><a href="/docs/Theta/ThetaSketchFramework.html">The Theta Sketch
Framework</a>. Theta sketches enable real-time set-expression computations and
can operate on or off the java heap.</li>
+ <li><a href="/docs/Tuple/TupleOverview.html">The Tuple Sketch</a>. Tuple
sketches are associative sketches that are useful for performing approximate
join operations and extracting other kinds of statistical behavior associated
with unique identifiers.</li>
</ul>
<h3 id="quantiles">Quantiles</h3>
<ul>
- <li>Get normal or inverse PDFs or CDFs of the distributions of any numeric
value from your raw data in a
- single pass.</li>
- <li>Well defined error bounds on the result.</li>
+ <li><a href="/docs/Quantiles/QuantilesOverview.html">Quantiles Overview</a>.
Get normal or inverse PDFs or CDFs of the distributions of any numeric value
from your raw data in a single pass with well defined error bounds on the
results.</li>
</ul>
<h3 id="frequent-items">Frequent Items</h3>
<ul>
- <li>Get the most frequent items from a stream of items.</li>
+ <li><a href="/docs/Frequency/FrequencySketchesOverview.html">Frequent Items
Sketches</a> Get the most frequent items from a stream of items.</li>
</ul>
-<h3 id="tuple-sketch">Tuple Sketch</h3>
+<h3 id="sampling">Sampling</h3>
<ul>
- <li>Associative sketches that are useful for performing approximate join
operations and
- extracting other kinds of behavior associated with unique identifiers.</li>
+ <li><a href="/docs/Sampling/ReservoirSampling.html">Reservoir Sampling</a>
Knuth’s well known Reservoir sampling “Algorithm R”, but extended to enable
merging across different sized reservoirs.</li>
+ <li><a href="/docs/Sampling/VarOptSampling.html">Weighted Sampling</a> Edith
Cohen’s famous sampling algorithm that enables computing subset sums of
weighted samples with optimum variance.</li>
</ul>
diff --git a/output/docs/Architecture/KeyFeatures.html
b/output/docs/Community/Transitioning.html
similarity index 84%
copy from output/docs/Architecture/KeyFeatures.html
copy to output/docs/Community/Transitioning.html
index 7be6268..c478679 100644
--- a/output/docs/Architecture/KeyFeatures.html
+++ b/output/docs/Community/Transitioning.html
@@ -476,106 +476,73 @@
specific language governing permissions and limitations
under the License.
-->
-<h2 id="key-features">Key Features</h2>
-<h3 id="sketch-features-matrix"><a
href="/docs/Architecture/SketchFeaturesMatrix.html">Sketch Features
Matrix</a></h3>
+<h1 id="transitioning-from-our-previous-github-site">Transitioning from our
previous GitHub Site.</h1>
-<h3 id="common-sketch-properties">Common Sketch Properties</h3>
+<p>After 8 years of development and 5 years in Open Source, we began in May,
2019 the important migration from a stand-alone GitHub site to being a member
of the <a href="https://apache.org";>Apache Software Foundation</a>
community.</p>
-<ul>
- <li>Please refer to the <a
href="/docs/Architecture/SketchCriteria.html">Sketch Criteria</a> for the
criteria for sketches to be included in the library.</li>
- <li>Query results are <b>approximate</b> but within well defined error
bounds that are user
- configurable by trading off sketch size with accuracy.</li>
- <li>Designed for <a href="/docs/LargeScale.html">Large-scale</a> computing
environments
- that must handle <b>Big Data</b>.( e.g.,
-<a href="https://hadoop.apache.org/";>Hadoop</a>,
-<a href="https://pig.apache.org/";>Pig</a>,
-<a href="https://hive.apache.org/";>Hive</a>,
-<a href="https://druid.io";>Druid</a>,
-<a href="https://spark.apache.org";>Spark</a>),
-and are heavily used within Yahoo / Verizon-Media.</li>
- <li><b>Maven deployable</b> and registered with
-<a href="https://search.maven.org/#search|ga|1|DataSketches">The Central
Repository</a>.</li>
- <li>Comprehensive <b>unit tests</b> and testing tools are provided.</li>
- <li>Extensive documentation with the systems developer in mind.</li>
-</ul>
-
-<h3 id="built-in-general-purpose-functions">Built-In, General Purpose
Functions</h3>
-
-<ul>
- <li>General purpose <a href="/docs/Memory/MemoryPackage.html">Memory
Package</a> for managing data off the Java Heap.
-This enables systems designers the ability to manage their own large data
heaps with
-dedicated processor threads that would otherwise put undue pressure on the
Java heap and
-its garbage collection.</li>
- <li>General purpose implementaion of Austin Appleby’s 128-bit MurmurHash3
algorithm,
- with a number of useful extensions.</li>
-</ul>
-
-<h3 id="robust-high-quality-implementations">Robust, High Quality
Implementations.</h3>
-
-<ul>
- <li>Extensive test code leveraging <a
href="https://testng.org";>TestNG</a>.</li>
- <li>Speed and accuracy performance characterization testing code
- included in the <a
href="https://github.com/DataSketches/sketches-misc";>sketches-misc</a>
repository.</li>
- <li>High Test Code coverage (
-<a href="">Core</a>,
-<a
href="https://github.com/apache/incubator-datasketches-pig/blob/master/README.md";>Pig</a>,
-<a
href="https://github.com/apache/incubator-datasketches-hive/blob/master/README.md";>Hive</a>,)
as measured by
-<a href="https://www.eclemma.org/jacoco/";>JaCoCo</a> and published by
-<a href="https://coveralls.io";>Coveralls</a>.</li>
- <li>Comprehensive Javadocs that satisfy
-<a href="https://www.oracle.com/technetwork/java/index.html";>Java JDK8</a>
standards.</li>
- <li>Suitable for production environments.</li>
-</ul>
-
-<h3 id="opportunities-to-extend">Opportunities to Extend</h3>
-
-<ul>
- <li>There is ample opportunity for interested parties to contribute
additional algorithms in this exciting area.</li>
-</ul>
+<p>While we undergo this migration, we beg your patience.</p>
-<h2 id="key-algorithms">Key Algorithms</h2>
+<p>As the repositories under GitHub.io/DataSketches migrate they will disapear
from the the GitHub.com/DataSketches organization page. Please refer to this
list be directed to the new locations.</p>
-<h3 id="count-distinct--count-unique">Count Distinct / Count Unique</h3>
+<p>View all of our Apache DataSketches repository components as a <a
href="https://github.com/apache?utf8=%E2%9C%93&q=datasketches";>list</a></p>
-<h4
id="solves-computational-challenges-associated-with-unique-identifiers">Solves
Computational Challenges Associated with Unique Identifiers</h4>
+<p><strong>Note</strong> The following names in <strong>BOLD</strong> are of
the old github.com/datasketches/ organization repositories.</p>
<ul>
- <li><b>Estimating cardinality</b> of a stream with many duplicates</li>
- <li>Performing <a href="/docs/Theta/ThetaSketchSetOps.html">set
operations</a> (e.g., Union, Intersection,
- and Difference) on sets of unique identifiers</li>
- <li>Estimates of the <b>error bounds</b> of the result can be obtained
directly from the result sketch</li>
- <li>Two families of Count Unique algorithms:
+ <li>Web Site and Web Site Source
<ul>
- <li><a href="/docs/Theta/ThetaSketchFramework.html">The Theta Sketch
Framework</a> algorithms that are tuned
-for operation on the java heap or off-heap.</li>
- <li><a href="/docs/HLL/HLL.html">The Hyper-Log Log algorithms</a> when
sketch size is of utmost concern.</li>
+ <li><strong>datasketches.github.io</strong> moved to <a
href="https://datasketches.apache.org";>datasketches.apache.org</a></li>
+ <li><strong>github.com/DataSketches/DataSketches.github.io</strong>
moved to <a
href="https://github.com/apache/incubator-datasketches-website";>github.com/apache/incubator-datasketches-website</a></li>
+ </ul>
+ </li>
+ <li>Java Core
+ <ul>
+ <li><strong>sketches-core</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-java";>incubator-datasketches-java</a>
This is the <strong>core</strong> library that contains all sketch algorithms
written in Java.</li>
+ <li><strong>memory</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-memory";>incubator-datasketches-memory</a>
Low-level component used by other java components.</li>
+ </ul>
+ </li>
+ <li>Java Adaptors
+ <ul>
+ <li><strong>sketches-hive</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-hive";>incubator-datasketches-hive</a>
Adapts the Java core to Apache Hive.</li>
+ <li><strong>sketches-pig</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-pig";>incubator-datasketches-pig</a>
Adapts the Java core to Apache Pig.</li>
+ <li><strong>sketches-vector</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-vector";>incubator-datasketches-vector</a>
Experimental sketches for vector and matrix processing.</li>
+ <li><a
href="https://github.com/apache/druid/tree/master/extensions-core/datasketches";>Apache
Druid adaptors</a></li>
+ </ul>
+ </li>
+ <li>C++ / Python Core
+ <ul>
+ <li><strong>sketches-core-cpp</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-cpp";>incubator-datasketches-cpp</a>
This is the <strong>core</strong> library that contains all major sketch
algorithms written in C++ and Python.</li>
+ </ul>
+ </li>
+ <li>C++ Adaptors
+ <ul>
+ <li><strong>sketches-postgres</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-postgresql";>incubator-datasketches-postgresql</a>
Adapts the C++ core to PostgreSQL.</li>
+ </ul>
+ </li>
+ <li>Java and C++
+ <ul>
+ <li><strong>characterization</strong> moved to <a
href="https://github.com/apache/incubator-datasketches-characterization";>incubator-datasketches-characterization</a>
Java and C++ Characterization suites for benchmarking and exhaustive
testing.</li>
+ </ul>
+ </li>
+ <li>Obsolete Components
+ <ul>
+ <li><a
href="https://github.com/DataSketches/sketches-android";>sketches-android</a> An
experimental proof-of-concept sketch for the Android cell-phone.</li>
+ <li><a
href="https://github.com/DataSketches/sketches-misc";>sketches-misc</a></li>
+ <li><a
href="https://github.com/DataSketches/experimental";>experimental</a></li>
+ <li><a
href="https://github.com/DataSketches/characterization-cpp";>characterization-cpp</a></li>
+ <li><a
href="https://github.com/DataSketches/experimental-cpp";>experimental-cpp</a></li>
+ </ul>
+ </li>
+ <li>Command Line Functions (Mostly obsolete. These may move to Apache later
or replaced by Python)
+ <ul>
+ <li><a
href="https://github.com/DataSketches/homebrew-sketches-cmd";>homebrew-sketches-cmd</a></li>
+ <li><a
href="https://github.com/DataSketches/sketches-cmd";>sketches-cmd</a></li>
+ <li><a
href="https://github.com/DataSketches/homebrew-sketches";>homebrew-sketches</a></li>
</ul>
</li>
</ul>
-<h3 id="quantiles">Quantiles</h3>
-
-<ul>
- <li>Get normal or inverse PDFs or CDFs of the distributions of any numeric
value from your raw data in a
- single pass.</li>
- <li>Well defined error bounds on the result.</li>
-</ul>
-
-<h3 id="frequent-items">Frequent Items</h3>
-
-<ul>
- <li>Get the most frequent items from a stream of items.</li>
-</ul>
-
-<h3 id="tuple-sketch">Tuple Sketch</h3>
-
-<ul>
- <li>Associative sketches that are useful for performing approximate join
operations and
- extracting other kinds of behavior associated with unique identifiers.</li>
-</ul>
-
-
</div> <!-- End content -->
</div> <!-- End row -->
</div> <!-- End Container -->
diff --git a/output/docs/Community/index.html b/output/docs/Community/index.html
index 87c41b9..d639e60 100644
--- a/output/docs/Community/index.html
+++ b/output/docs/Community/index.html
@@ -460,6 +460,12 @@
<div class="col-md-9 doc-content">
<h1 id="apache-datasketches-community">Apache DataSketches Community</h1>
+<h2 id="transitioning-from-our-previous-github-site">Transitioning From Our
Previous GitHub Site</h2>
+
+<ul>
+ <li>If you were a user of our library from our previous <a
href="https://github.com/datasketches";>GitHub Site</a> please refer to this <a
href="/docs/Community/Transitioning.html">Transitioning</a> page.</li>
+</ul>
+
<h2 id="how-we-communicate">How We Communicate</h2>
<p>There are many ways that are available for our community to communicate
with each other and directly with the developer team. Please review the
following for methods that meet your needs.</p>
diff --git a/output/docs/Quantiles/QuantilesOverview.html
b/output/docs/Quantiles/QuantilesOverview.html
index fe5ef41..89af0f0 100644
--- a/output/docs/Quantiles/QuantilesOverview.html
+++ b/output/docs/Quantiles/QuantilesOverview.html
@@ -483,14 +483,18 @@ approximate distribution of comparable values from a very
large stream in a sing
The analysis is obtained using a getQuantiles() function or its inverse
functions the
Probability Mass Function from getPMF() and the Cumulative Distribution
Function from getCDF().</p>
+<ul>
+ <li><strong>NOTE:</strong> See also the <a
href="/docs/Quantiles/KLLSketch.html">KLL Sketch</a>.</li>
+</ul>
+
<h3 id="section-links">Section links:</h3>
<ul>
- <li><a href="#Section 1">Section 1</a> Sketches-Core Numeric Quantiles</li>
- <li><a href="#Section 2">Section 2</a> Sketches-Core Extending Generic
Quantiles Classes</li>
+ <li><a href="#Section 1">Section 1</a> Numeric Quantiles</li>
+ <li><a href="#Section 2">Section 2</a> Extending Generic Quantiles
Classes</li>
<li><a href="#Section 3">Section 3</a> Implementation Notes</li>
</ul>
-<h2 id="sketches-core-numeric-quantiles"><a name="Section 1"></a>Sketches-Core
Numeric Quantiles</h2>
+<h2 id="numeric-quantiles"><a name="Section 1"></a>Numeric Quantiles</h2>
<p>Consider this real data example of a stream of 230 million time-spent
events collected from one our systems for a period of just 30 minutes. Each
event records the amount of time in milliseconds that a user spends on a web
page before moving to a different web page by taking some action, such as a
click.</p>
@@ -636,7 +640,7 @@ System.out.println(qs3.toString()); //Primarily for
debugging
*/
</code></pre></div></div>
-<h2 id="sketches-core-extending-generic-quantiles-classes"><a name="Section
2"></a>Sketches-Core Extending Generic Quantiles Classes</h2>
+<h2 id="extending-generic-quantiles-classes"><a name="Section 2"></a>Extending
Generic Quantiles Classes</h2>
<p>Any item type that is comparable, or for which you can create a Comparator,
can also be analyzed by extending the abstract generic classes for that
particular item.</p>
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
