From bc6a632a6d371943ce7d52bd9670aedcf073a0cd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Petr=C3=B4nio=20C=C3=A2ndido?= <petronio.candido@gmail.com>
Date: Fri, 15 Nov 2019 16:48:47 -0300
Subject: [PATCH] is_time_variant flag on FTS; offset() function in FTS;
 Documentation update

---
 docs/build/doctrees/environment.pickle        | Bin 1792527 -> 1849132 bytes
 .../build/doctrees/pyFTS.partitioners.doctree | Bin 93569 -> 93911 bytes
 .../html/_sources/pyFTS.partitioners.rst.txt  |   7 ++++
 docs/build/html/modules.html                  |   1 +
 docs/build/html/pyFTS.common.html             |  16 ++++-----
 docs/build/html/pyFTS.data.html               |   2 +-
 docs/build/html/pyFTS.html                    |   1 +
 .../build/html/pyFTS.models.multivariate.html |   4 +--
 docs/build/html/pyFTS.models.seasonal.html    |   4 +--
 docs/build/html/pyFTS.partitioners.html       |   6 +++-
 docs/build/html/pyFTS.probabilistic.html      |   4 +--
 docs/build/html/searchindex.js                |   2 +-
 docs/pyFTS.partitioners.rst                   |   7 ++++
 pyFTS/benchmarks/Tests.py                     |   9 +++--
 pyFTS/common/fts.py                           |  34 +++++++++++++++---
 .../models/incremental/IncrementalEnsemble.py |   3 ++
 pyFTS/models/incremental/TimeVariant.py       |  11 ++++--
 pyFTS/partitioners/SubClust.py                |   2 +-
 18 files changed, 86 insertions(+), 27 deletions(-)

diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
index 3acdf03f3880cf242d2d9da3761f399e6aca926a..4f897b84759c75a80b4bb1f3bf15f774649fde4d 100644
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diff --git a/docs/build/doctrees/pyFTS.partitioners.doctree b/docs/build/doctrees/pyFTS.partitioners.doctree
index 9c78aa0994d450b971fa2f8afefbf56c93d79db8..df3c22ff331e150b4faf226584db965c91dd3811 100644
GIT binary patch
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diff --git a/docs/build/html/_sources/pyFTS.partitioners.rst.txt b/docs/build/html/_sources/pyFTS.partitioners.rst.txt
index 4cdb4fe..fe59664 100644
--- a/docs/build/html/_sources/pyFTS.partitioners.rst.txt
+++ b/docs/build/html/_sources/pyFTS.partitioners.rst.txt
@@ -76,6 +76,13 @@ pyFTS.partitioners.Simple module
     :undoc-members:
     :show-inheritance:
 
+pyFTS.partitioners.SubClust module
+----------------------------------
+
+.. automodule:: pyFTS.partitioners.SubClust
+    :members:
+    :undoc-members:
+    :show-inheritance:
 
 pyFTS.partitioners.Util module
 ------------------------------
diff --git a/docs/build/html/modules.html b/docs/build/html/modules.html
index 6595c82..4bc0f98 100644
--- a/docs/build/html/modules.html
+++ b/docs/build/html/modules.html
@@ -205,6 +205,7 @@
 <li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng module</a></li>
 <li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li>
 <li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li>
+<li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-subclust-module">pyFTS.partitioners.SubClust module</a></li>
 <li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util module</a></li>
 <li class="toctree-l4"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util module</a></li>
 </ul>
diff --git a/docs/build/html/pyFTS.common.html b/docs/build/html/pyFTS.common.html
index be396c5..644a51a 100644
--- a/docs/build/html/pyFTS.common.html
+++ b/docs/build/html/pyFTS.common.html
@@ -211,7 +211,7 @@
 <dl class="class">
 <dt id="pyFTS.common.FLR.FLR">
 <em class="property">class </em><code class="descclassname">pyFTS.common.FLR.</code><code class="descname">FLR</code><span class="sig-paren">(</span><em>LHS</em>, <em>RHS</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.FLR.FLR" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Fuzzy Logical Relationship</p>
 <p>Represents a temporal transition of the fuzzy set LHS on time t for the fuzzy set RHS on time t+1.</p>
 </dd></dl>
@@ -299,7 +299,7 @@
 <dl class="class">
 <dt id="pyFTS.common.FuzzySet.FuzzySet">
 <em class="property">class </em><code class="descclassname">pyFTS.common.FuzzySet.</code><code class="descname">FuzzySet</code><span class="sig-paren">(</span><em>name</em>, <em>mf</em>, <em>parameters</em>, <em>centroid</em>, <em>alpha=1.0</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.FuzzySet.FuzzySet" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Fuzzy Set</p>
 <dl class="method">
 <dt id="pyFTS.common.FuzzySet.FuzzySet.membership">
@@ -663,7 +663,7 @@
 <dl class="class">
 <dt id="pyFTS.common.SortedCollection.SortedCollection">
 <em class="property">class </em><code class="descclassname">pyFTS.common.SortedCollection.</code><code class="descname">SortedCollection</code><span class="sig-paren">(</span><em>iterable=()</em>, <em>key=None</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.SortedCollection.SortedCollection" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Sequence sorted by a key function.</p>
 <p>SortedCollection() is much easier to work with than using bisect() directly.
 It supports key functions like those use in sorted(), min(), and max().
@@ -1048,7 +1048,7 @@ bisect but with a simpler API and support for key functions.</p>
 <dl class="class">
 <dt id="pyFTS.common.Transformations.Transformation">
 <em class="property">class </em><code class="descclassname">pyFTS.common.Transformations.</code><code class="descname">Transformation</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.Transformations.Transformation" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Data transformation used on pre and post processing of the FTS</p>
 <dl class="method">
 <dt id="pyFTS.common.Transformations.Transformation.apply">
@@ -1433,7 +1433,7 @@ bisect but with a simpler API and support for key functions.</p>
 <dl class="class">
 <dt id="pyFTS.common.flrg.FLRG">
 <em class="property">class </em><code class="descclassname">pyFTS.common.flrg.</code><code class="descname">FLRG</code><span class="sig-paren">(</span><em>order</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.flrg.FLRG" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Fuzzy Logical Relationship Group</p>
 <p>Group a set of FLR’s with the same LHS. Represents the temporal patterns for time t+1 (the RHS fuzzy sets)
 when the LHS pattern is identified on time t.</p>
@@ -1535,7 +1535,7 @@ when the LHS pattern is identified on time t.</p>
 <dl class="class">
 <dt id="pyFTS.common.fts.FTS">
 <em class="property">class </em><code class="descclassname">pyFTS.common.fts.</code><code class="descname">FTS</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.fts.FTS" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Fuzzy Time Series object model</p>
 <dl class="method">
 <dt id="pyFTS.common.fts.FTS.append_log">
@@ -1946,14 +1946,14 @@ models that accept the actual values and forecast new ones.</li>
 <dl class="class">
 <dt id="pyFTS.common.tree.FLRGTree">
 <em class="property">class </em><code class="descclassname">pyFTS.common.tree.</code><code class="descname">FLRGTree</code><a class="headerlink" href="#pyFTS.common.tree.FLRGTree" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Represents a FLRG set with a tree structure</p>
 </dd></dl>
 
 <dl class="class">
 <dt id="pyFTS.common.tree.FLRGTreeNode">
 <em class="property">class </em><code class="descclassname">pyFTS.common.tree.</code><code class="descname">FLRGTreeNode</code><span class="sig-paren">(</span><em>value</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.common.tree.FLRGTreeNode" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Tree node for</p>
 <dl class="method">
 <dt id="pyFTS.common.tree.FLRGTreeNode.appendChild">
diff --git a/docs/build/html/pyFTS.data.html b/docs/build/html/pyFTS.data.html
index 3dbf383..2f65c48 100644
--- a/docs/build/html/pyFTS.data.html
+++ b/docs/build/html/pyFTS.data.html
@@ -172,7 +172,7 @@ If the file don’t already exists, it will be downloaded and decompressed.</p>
 <dl class="class">
 <dt id="pyFTS.data.artificial.SignalEmulator">
 <em class="property">class </em><code class="descclassname">pyFTS.data.artificial.</code><code class="descname">SignalEmulator</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.data.artificial.SignalEmulator" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Emulate a complex signal built from several additive and non-additive components</p>
 <dl class="method">
 <dt id="pyFTS.data.artificial.SignalEmulator.blip">
diff --git a/docs/build/html/pyFTS.html b/docs/build/html/pyFTS.html
index 989006d..75dff0a 100644
--- a/docs/build/html/pyFTS.html
+++ b/docs/build/html/pyFTS.html
@@ -265,6 +265,7 @@
 <li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#pyfts-partitioners-subclust-module">pyFTS.partitioners.SubClust module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util module</a></li>
 <li class="toctree-l2"><a class="reference internal" href="pyFTS.partitioners.html#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util module</a></li>
 </ul>
diff --git a/docs/build/html/pyFTS.models.multivariate.html b/docs/build/html/pyFTS.models.multivariate.html
index 5cd6392..0fb41e9 100644
--- a/docs/build/html/pyFTS.models.multivariate.html
+++ b/docs/build/html/pyFTS.models.multivariate.html
@@ -127,7 +127,7 @@
 <dl class="class">
 <dt id="pyFTS.models.multivariate.FLR.FLR">
 <em class="property">class </em><code class="descclassname">pyFTS.models.multivariate.FLR.</code><code class="descname">FLR</code><a class="headerlink" href="#pyFTS.models.multivariate.FLR.FLR" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Multivariate Fuzzy Logical Relationship</p>
 <dl class="method">
 <dt id="pyFTS.models.multivariate.FLR.FLR.set_lhs">
@@ -206,7 +206,7 @@
 <dl class="class">
 <dt id="pyFTS.models.multivariate.variable.Variable">
 <em class="property">class </em><code class="descclassname">pyFTS.models.multivariate.variable.</code><code class="descname">Variable</code><span class="sig-paren">(</span><em>name</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.multivariate.variable.Variable" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>A variable of a fuzzy time series multivariate model. Each variable contains its own
 transformations and partitioners.</p>
 <dl class="method">
diff --git a/docs/build/html/pyFTS.models.seasonal.html b/docs/build/html/pyFTS.models.seasonal.html
index b6afd86..0305e75 100644
--- a/docs/build/html/pyFTS.models.seasonal.html
+++ b/docs/build/html/pyFTS.models.seasonal.html
@@ -225,7 +225,7 @@
 <dl class="class">
 <dt id="pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer">
 <em class="property">class </em><code class="descclassname">pyFTS.models.seasonal.SeasonalIndexer.</code><code class="descname">SeasonalIndexer</code><span class="sig-paren">(</span><em>num_seasons</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Seasonal Indexer. Responsible to find the seasonal index of a data point inside its data set</p>
 <dl class="method">
 <dt id="pyFTS.models.seasonal.SeasonalIndexer.SeasonalIndexer.get_data">
@@ -358,7 +358,7 @@
 <dl class="class">
 <dt id="pyFTS.models.seasonal.common.DateTime">
 <em class="property">class </em><code class="descclassname">pyFTS.models.seasonal.common.</code><code class="descname">DateTime</code><a class="headerlink" href="#pyFTS.models.seasonal.common.DateTime" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/enum.html#enum.Enum" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">enum.Enum</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/enum.html#enum.Enum" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">enum.Enum</span></code></a></p>
 <p>Data and Time granularity for time granularity and seasonality identification</p>
 <dl class="attribute">
 <dt id="pyFTS.models.seasonal.common.DateTime.day_of_month">
diff --git a/docs/build/html/pyFTS.partitioners.html b/docs/build/html/pyFTS.partitioners.html
index a087500..7a62f02 100644
--- a/docs/build/html/pyFTS.partitioners.html
+++ b/docs/build/html/pyFTS.partitioners.html
@@ -73,6 +73,7 @@
 <li><a class="reference internal" href="#module-pyFTS.partitioners.Huarng">pyFTS.partitioners.Huarng module</a></li>
 <li><a class="reference internal" href="#module-pyFTS.partitioners.Singleton">pyFTS.partitioners.Singleton module</a></li>
 <li><a class="reference internal" href="#module-pyFTS.partitioners.Simple">pyFTS.partitioners.Simple module</a></li>
+<li><a class="reference internal" href="#pyfts-partitioners-subclust-module">pyFTS.partitioners.SubClust module</a></li>
 <li><a class="reference internal" href="#module-pyFTS.partitioners.Util">pyFTS.partitioners.Util module</a></li>
 <li><a class="reference internal" href="#module-pyFTS.partitioners.parallel_util">pyFTS.partitioners.parallel_util module</a></li>
 </ul>
@@ -126,7 +127,7 @@
 <dl class="class">
 <dt id="pyFTS.partitioners.partitioner.Partitioner">
 <em class="property">class </em><code class="descclassname">pyFTS.partitioners.partitioner.</code><code class="descname">Partitioner</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.partitioners.partitioner.Partitioner" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Universe of Discourse partitioner. Split data on several fuzzy sets</p>
 <dl class="method">
 <dt id="pyFTS.partitioners.partitioner.Partitioner.build">
@@ -554,6 +555,9 @@ Fuzzy Sets Syst., vol. 123, no. 3, pp. 387–394, Nov. 2001.</p>
 
 </dd></dl>
 
+</div>
+<div class="section" id="pyfts-partitioners-subclust-module">
+<h2>pyFTS.partitioners.SubClust module<a class="headerlink" href="#pyfts-partitioners-subclust-module" title="Permalink to this headline">¶</a></h2>
 </div>
 <div class="section" id="module-pyFTS.partitioners.Util">
 <span id="pyfts-partitioners-util-module"></span><h2>pyFTS.partitioners.Util module<a class="headerlink" href="#module-pyFTS.partitioners.Util" title="Permalink to this headline">¶</a></h2>
diff --git a/docs/build/html/pyFTS.probabilistic.html b/docs/build/html/pyFTS.probabilistic.html
index d77dc3d..3f4f962 100644
--- a/docs/build/html/pyFTS.probabilistic.html
+++ b/docs/build/html/pyFTS.probabilistic.html
@@ -111,7 +111,7 @@
 <dl class="class">
 <dt id="pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution">
 <em class="property">class </em><code class="descclassname">pyFTS.probabilistic.ProbabilityDistribution.</code><code class="descname">ProbabilityDistribution</code><span class="sig-paren">(</span><em>type='KDE'</em>, <em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.probabilistic.ProbabilityDistribution.ProbabilityDistribution" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Represents a discrete or continous probability distribution
 If type is histogram, the PDF is discrete
 If type is KDE the PDF is continuous</p>
@@ -368,7 +368,7 @@ such that Q(tau) = min( {x | F(x) &gt;= tau })</p>
 <dl class="class">
 <dt id="pyFTS.probabilistic.kde.KernelSmoothing">
 <em class="property">class </em><code class="descclassname">pyFTS.probabilistic.kde.</code><code class="descname">KernelSmoothing</code><span class="sig-paren">(</span><em>**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#pyFTS.probabilistic.kde.KernelSmoothing" title="Permalink to this definition">¶</a></dt>
-<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.7)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
+<dd><p>Bases: <a class="reference external" href="https://docs.python.org/3/library/functions.html#object" title="(in Python v3.8)"><code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></a></p>
 <p>Kernel Density Estimation</p>
 <dl class="method">
 <dt id="pyFTS.probabilistic.kde.KernelSmoothing.kernel_function">
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 7e6a0e8..ffea206 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
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rk:[1,2],specif:[3,4,8,9,10,11,12,13],split:[3,4,14],splitabov:14,splitbelow:14,splite:16,sql:3,sqlite3:[3,7],sqlite:[3,7],squar:3,ssci:8,stabl:3,standard:[3,5,16],start:[0,3,4,5,8,9,11,12,13],start_at:[3,4,8,9,11,13],stat:[3,8,16],station:5,stationari:12,stationary_gaussian:5,statist:[0,3],statsmodel:3,std:3,step:[3,4,8,9,10,11,12,13,16],steps_ahead:[3,4],stochast:5,stock:5,store:[3,4,7],strang:5,string:14,strip_datepart:13,structur:[4,13,14],student:0,style:4,subclust:[1,2],submodul:[0,1],subpackag:[0,1],suitabl:0,sum:8,sunspot:[1,2],superset:4,support:4,symbol:5,symmetr:3,symposium:8,synthesi:3,synthet:[1,2,3],syst:[8,13,14,16],system:[5,8,12],tabl:[3,7],tabular_dataframe_column:3,tag:[3,7],taiex:[1,2,8,16],taiwan:5,take:16,tam:[3,4,12,14,15],target:3,target_vari:[4,6],tau:[3,5,15],technol:[14,16],tempeatur:5,tempor:[4,13,16],term:[3,4,8,16],test:[1,2,4,16],test_data:3,test_mean_equ:3,than:[4,5,16],thei:4,theil:3,theilsinequ:3,theoret:3,theori:16,thi:[0,4,5,8,11,12,13,14,15,16],third:13,thoma:4,those:4,thres1:14,thres2:14,threshold:14,through:5,time:[1,2,3,4,8,9,10,11,12,13,14],time_from:4,time_to:4,timegridpartition:13,times2:3,timeseri:5,timevari:[2,8],titl:[3,14,15],tool:[0,16],total:[4,5],tradit:8,train:[3,4,8,9,10,11,12,13,14],train_data:[3,9],train_individual_model:9,train_test_tim:3,transact:12,transform:[1,2,3,7,11,12,13,14,16],transit:[4,16],translat:16,trapezoid:[4,14,16],trapmf:4,tree:[1,2],trend:[8,16],trendweightedflrg:8,trendweightedft:8,triangular:4,trigger:4,trimf:4,tsa:3,tsdl:5,tupl:[3,4,7,11,14],two:5,twse:5,type:[3,4,5,6,11,13,14,15,16],typeonlegend:[3,4],uavg:3,ufmg:0,under:4,unified_scaled_interv:3,unified_scaled_interval_pinbal:3,unified_scaled_point:3,unified_scaled_probabilist:3,uniform:5,uniqu:[4,8,12,13],uniquefilenam:4,unit:13,univari:5,univers:[0,3,5,11,12,13,14,15,16],unpack_arg:12,uod:[3,4,7,8,14],up_param:3,update_model:8,update_uod:9,updateuod:[4,11],upper:[4,5,8,11,12,14],upper_set:14,url:[0,3,5,6],urlhttp:3,usa:5,usag:0,usd:[1,2],use:[0,4,11],used:[3,4,7,8,14,16],user:[3,7],using:[4,8,10,14,16],ustatist:3,ustd:3,usual:[4,16],util:[1,2,8],val:14,valid:4,valu:[3,4,5,7,8,9,10,11,12,13,14,15,16],valueerror:4,variabl:[2,4,6,8],varianc:[4,5],variant:10,variat:[5,9],vector:[4,11,14],veri:[5,8],verif:3,verifi:14,visualize_distribut:8,vmax:5,vmin:5,vol:[8,13,14,16],walk:5,want:0,weather:3,weight:[5,8,11,16],weightedflrg:[8,11],weightedft:8,weightedhighorderflrg:8,weightedhighorderft:8,weightedintervalft:8,weightedmvft:11,were:[11,13,14],when:[4,14],where:[3,4,8,9,11,13],which:[3,4,7,11,16],white_nois:5,whose:0,width:[4,14],window:[3,4,10],window_index:12,window_kei:3,window_s:12,windows:[3,4],winkler:3,winkler_mean:3,winkler_scor:3,without:4,wmvft:[2,8],word:[3,7],work:[4,11,13,14],wrap:[3,9,10],www:[3,5],xiii:9,yahoo:5,year:13,yearli:5,yeh:[14,16],you:4,young:4,younger:4,youngest:4,zenodo:0},titles:["pyFTS - Fuzzy Time Series for Python","pyFTS","pyFTS package","pyFTS.benchmarks package","pyFTS.common package","pyFTS.data package","pyFTS.distributed package","pyFTS.hyperparam package","pyFTS.models package","pyFTS.models.ensemble package","pyFTS.models.incremental package","pyFTS.models.multivariate package","pyFTS.models.nonstationary package","pyFTS.models.seasonal package","pyFTS.partitioners package","pyFTS.probabilistic package","pyFTS Quick Start"],titleterms:{FTS:16,airpasseng:5,arima:3,artifici:5,benchmark:3,bitcoin:5,bst:3,chaotic:5,chen:8,cheng:8,cmean:14,cmsft:13,cmvft:11,common:[4,5,11,12,13],composit:4,conf:2,content:[2,3,4,5,6,7,8,9,10,11,12,13,14,15],cvft:12,data:5,dataset:5,dispi:6,distribut:6,dowjon:5,enrol:5,ensembl:9,entropi:14,ethereum:5,eur:5,evolutionari:7,exampl:16,fcm:14,flr:[4,11],flrg:[4,11,12],fts:4,fuzzi:[0,16],fuzzyset:4,gaussianproc:3,gbp:5,gener:5,glass:5,granular:11,grid:[11,14],gridsearch:7,henon:5,hoft:8,honsft:12,how:[0,16],huarng:14,hwang:8,hyperparam:7,ift:8,increment:10,incrementalensembl:10,index:0,inmet:5,instal:16,ismailefendi:8,kde:15,knn:3,librari:0,logistic_map:5,lorentz:5,mackei:5,malaysia:5,measur:3,membership:4,model:[8,9,10,11,12,13],modul:[2,3,4,5,6,7,8,9,10,11,12,13,14,15],msft:13,multiseason:9,multivari:11,mvft:11,naiv:3,nasdaq:5,nonstationari:12,nsft:12,packag:[2,3,4,5,6,7,8,9,10,11,12,13,14,15],parallel_util:14,partition:[11,12,13,14],perturb:12,probabilist:15,probabilitydistribut:15,pwft:8,pyft:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],python:0,quantreg:3,quick:16,refer:[0,16],residualanalysi:3,rossler:5,sadaei:8,season:13,seasonalindex:13,seri:[0,5,16],sft:13,simpl:14,singleton:14,sonda:5,song:8,sortedcollect:4,spark:6,start:16,subclust:14,submodul:[2,3,4,5,6,7,8,9,10,11,12,13,14,15],subpackag:[2,8],sunspot:5,synthet:5,taiex:5,test:3,time:[0,5,16],timevari:10,transform:4,tree:4,usag:16,usd:5,util:[3,4,7,12,14],variabl:11,what:[0,16],wmvft:11}})
\ No newline at end of file
diff --git a/docs/pyFTS.partitioners.rst b/docs/pyFTS.partitioners.rst
index 4cdb4fe..fe59664 100644
--- a/docs/pyFTS.partitioners.rst
+++ b/docs/pyFTS.partitioners.rst
@@ -76,6 +76,13 @@ pyFTS.partitioners.Simple module
     :undoc-members:
     :show-inheritance:
 
+pyFTS.partitioners.SubClust module
+----------------------------------
+
+.. automodule:: pyFTS.partitioners.SubClust
+    :members:
+    :undoc-members:
+    :show-inheritance:
 
 pyFTS.partitioners.Util module
 ------------------------------
diff --git a/pyFTS/benchmarks/Tests.py b/pyFTS/benchmarks/Tests.py
index f684f33..135e1f0 100644
--- a/pyFTS/benchmarks/Tests.py
+++ b/pyFTS/benchmarks/Tests.py
@@ -91,7 +91,7 @@ def format_experiment_table(df, exclude=[], replace={}, csv=True, std=False):
 
 
 def test_mean_equality(tests, alpha=.05, method='friedman'):
-    '''
+    """
     Test for the equality of the means, with alpha confidence level.
 
     H_0: There's no significant difference between the means
@@ -101,7 +101,7 @@ def test_mean_equality(tests, alpha=.05, method='friedman'):
     :param alpha:
     :param method:
     :return:
-    '''
+    """
     from stac.stac import nonparametric_tests as npt
 
     methods = tests.columns[1:]
@@ -119,7 +119,10 @@ def test_mean_equality(tests, alpha=.05, method='friedman'):
 
     print("F-Value: {} \tp-Value: {}".format(f_value, p_value))
 
-    print("\nH0 is rejected!\n") if p_value < alpha else print("\nH0 is accepted!\n")
+    if p_value < alpha:
+        print("\nH0 is rejected!\n")
+    else:
+        print("\nH0 is accepted!\n")
 
     post_hoc = {}
     rows = []
diff --git a/pyFTS/common/fts.py b/pyFTS/common/fts.py
index 4acee86..33530fc 100644
--- a/pyFTS/common/fts.py
+++ b/pyFTS/common/fts.py
@@ -70,6 +70,8 @@ class FTS(object):
         needed to forecast a single step ahead"""
         self.log = pd.DataFrame([],columns=["Datetime","Operation","Value"])
         """"""
+        self.is_time_variant = False
+        """A boolean value indicating if this model is time variant"""
 
     def fuzzy(self, data):
         """
@@ -410,7 +412,7 @@ class FTS(object):
         """
         Import the parameters values from other model
 
-        :param model:
+        :param model: a model to clone the parameters
         """
 
         self.order = model.order
@@ -524,13 +526,37 @@ class FTS(object):
             return data
 
     def get_UoD(self):
+        """
+        Returns the interval of the known bounds of the universe of discourse (UoD), i. e.,
+        the known minimum and maximum values of the time series.
+
+        :return: A set with the lower and the upper bounds of the UoD
+        """
         if self.partitioner is not None:
-            return [self.partitioner.min, self.partitioner.max]
+            return (self.partitioner.min, self.partitioner.max)
         else:
-            return [self.original_min, self.original_max]
+            return (self.original_min, self.original_max)
+        
+    def offset(self):
+        """
+        Returns the number of lags to skip in the input test data in order to synchronize it with
+        the forecasted values given by the predict function. This is necessary due to the order of the
+        model, among other parameters.
+
+        :return: An integer with the number of lags to skip
+        """
+        if self.is_high_order:
+            return self.max_lag
+        else:
+            return 1
 
     def __str__(self):
-        """String representation of the model"""
+        """
+        String representation of the model
+
+        :return: a string containing the name of the model and the learned rules
+        (if the model was already trained)
+        """
 
         tmp = self.name + ":\n"
         if self.partitioner.type == 'common':
diff --git a/pyFTS/models/incremental/IncrementalEnsemble.py b/pyFTS/models/incremental/IncrementalEnsemble.py
index c494054..f1a6773 100644
--- a/pyFTS/models/incremental/IncrementalEnsemble.py
+++ b/pyFTS/models/incremental/IncrementalEnsemble.py
@@ -47,6 +47,9 @@ class IncrementalEnsembleFTS(ensemble.EnsembleFTS):
         self.uod_clip = False
         self.max_lag = self.window_length + self.order
 
+    def offset(self):
+        return self.max_lag
+
     def train(self, data, **kwargs):
 
         partitioner = self.partitioner_method(data=data, **self.partitioner_params)
diff --git a/pyFTS/models/incremental/TimeVariant.py b/pyFTS/models/incremental/TimeVariant.py
index a89ef2a..4925727 100644
--- a/pyFTS/models/incremental/TimeVariant.py
+++ b/pyFTS/models/incremental/TimeVariant.py
@@ -1,5 +1,6 @@
 """
-Meta model that wraps another FTS method and continously retrain it using a data window with the most recent data
+Meta model that wraps another FTS method and continously retrain it using a data window with
+the most recent data
 """
 
 import numpy as np
@@ -9,7 +10,9 @@ from pyFTS.partitioners import Grid
 
 class Retrainer(fts.FTS):
     """
-    Meta model for incremental/online learning
+    Meta model for incremental/online learning that retrain its internal model after
+    data windows controlled by the parameter 'batch_size', using as the training data a
+    window of recent lags, whose size is controlled by the parameter 'window_length'.
     """
     def __init__(self, **kwargs):
         super(Retrainer, self).__init__(**kwargs)
@@ -35,6 +38,7 @@ class Retrainer(fts.FTS):
         self.batch_size = kwargs.get('batch_size', 10)
         """The batch interval between each retraining"""
         self.is_high_order = True
+        self.is_time_variant = True
         self.uod_clip = False
         self.max_lag = self.window_length + self.order
         self.is_wrapper = True
@@ -69,6 +73,9 @@ class Retrainer(fts.FTS):
 
         return ret
 
+    def offset(self):
+        return self.max_lag
+
     def __str__(self):
         """String representation of the model"""
 
diff --git a/pyFTS/partitioners/SubClust.py b/pyFTS/partitioners/SubClust.py
index c362f91..6474288 100644
--- a/pyFTS/partitioners/SubClust.py
+++ b/pyFTS/partitioners/SubClust.py
@@ -60,7 +60,7 @@ def subclust(data, ra, rb, eps_sup, eps_inf):
 
 
 class SubClustPartitioner(partitioner.Partitioner):
-    """SubClust Partitioner"""
+    """Subtractive Clustering Partitioner"""
     def __init__(self, **kwargs):
         self.ra = kwargs.get('ra', 0.8)
         self.rb = kwargs.get('rb', self.ra * 1.5)