is_time_variant flag on FTS; offset() function in FTS; Documentation update

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
 ------------------------------

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>

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">

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">

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>

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">

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">

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>

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">

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
 ------------------------------

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 = []

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':

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)

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"""
 

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)