<spanid="module-contents"></span><h2>Module contents<aclass="headerlink"href="#module-pyFTS.models.multivariate"title="Permalink to this headline">¶</a></h2>
<spanid="pyfts-models-multivariate-flr-module"></span><h2>pyFTS.models.multivariate.FLR module<aclass="headerlink"href="#module-pyFTS.models.multivariate.FLR"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.FLR.</span></span><spanclass="sig-name descname"><spanclass="pre">FLR</span></span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/FLR.html#FLR"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.FLR.FLR"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">set_lhs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">var</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">set</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/FLR.html#FLR.set_lhs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.FLR.FLR.set_lhs"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">set_rhs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">set</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/FLR.html#FLR.set_rhs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.FLR.FLR.set_rhs"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-common-module"></span><h2>pyFTS.models.multivariate.common module<aclass="headerlink"href="#module-pyFTS.models.multivariate.common"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.common.</span></span><spanclass="sig-name descname"><spanclass="pre">MultivariateFuzzySet</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#MultivariateFuzzySet"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.alpha"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">append_set</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">variable</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">set</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#MultivariateFuzzySet.append_set"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.append_set"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">centroid</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.centroid"title="Permalink to this definition">¶</a></dt>
<dd><p>The fuzzy set center of mass (or midpoint)</p>
<spanclass="sig-name descname"><spanclass="pre">membership</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">x</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#MultivariateFuzzySet.membership"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.membership"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">parameters</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.parameters"title="Permalink to this definition">¶</a></dt>
<dd><p>The parameters of the membership function</p>
<spanclass="sig-name descname"><spanclass="pre">set_target_variable</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">variable</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#MultivariateFuzzySet.set_target_variable"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.set_target_variable"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">type</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.common.MultivariateFuzzySet.type"title="Permalink to this definition">¶</a></dt>
<dd><p>The fuzzy set type (common, composite, nonstationary, etc)</p>
<spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.common.</span></span><spanclass="sig-name descname"><spanclass="pre">fuzzyfy_instance</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data_point</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">var</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">tuples</span></span><spanclass="o"><spanclass="pre">=</span></span><spanclass="default_value"><spanclass="pre">True</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#fuzzyfy_instance"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.fuzzyfy_instance"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.common.</span></span><spanclass="sig-name descname"><spanclass="pre">fuzzyfy_instance_clustered</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data_point</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">cluster</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/common.html#fuzzyfy_instance_clustered"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.common.fuzzyfy_instance_clustered"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-variable-module"></span><h2>pyFTS.models.multivariate.variable module<aclass="headerlink"href="#module-pyFTS.models.multivariate.variable"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.variable.</span></span><spanclass="sig-name descname"><spanclass="pre">Variable</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">name</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/variable.html#Variable"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alias</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.alias"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha_cut</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.alpha_cut"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">apply_inverse_transformations</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/variable.html#Variable.apply_inverse_transformations"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.apply_inverse_transformations"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">apply_transformations</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/variable.html#Variable.apply_transformations"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.apply_transformations"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">build</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/variable.html#Variable.build"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.build"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">data_label</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.data_label"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">data_type</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.data_type"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">mask</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.mask"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">partitioner</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.partitioner"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">transformation</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.variable.Variable.transformation"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-flrg-module"></span><h2>pyFTS.models.multivariate.flrg module<aclass="headerlink"href="#module-pyFTS.models.multivariate.flrg"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.flrg.</span></span><spanclass="sig-name descname"><spanclass="pre">FLRG</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">append_rhs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">fset</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG.append_rhs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_lower</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">sets</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG.get_lower"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG.get_lower"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_membership</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">variables</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG.get_membership"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG.get_membership"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_upper</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">sets</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG.get_upper"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG.get_upper"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">set_lhs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">var</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">fset</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/flrg.html#FLRG.set_lhs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.flrg.FLRG.set_lhs"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-partitioner-module"></span><h2>pyFTS.models.multivariate.partitioner module<aclass="headerlink"href="#module-pyFTS.models.multivariate.partitioner"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.partitioner.</span></span><spanclass="sig-name descname"><spanclass="pre">MultivariatePartitioner</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">append</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">fset</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.append"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.append"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">build</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.build"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.build"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">build_index</span></span><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.build_index"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.build_index"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">change_target_variable</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">variable</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.change_target_variable"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.change_target_variable"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">format_data</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.format_data"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.format_data"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">fuzzyfy</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.fuzzyfy"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.fuzzyfy"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">prune</span></span><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.prune"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.prune"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">search</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/partitioner.html#MultivariatePartitioner.search"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.partitioner.MultivariatePartitioner.search"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-grid-module"></span><h2>pyFTS.models.multivariate.grid module<aclass="headerlink"href="#module-pyFTS.models.multivariate.grid"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.grid.</span></span><spanclass="sig-name descname"><spanclass="pre">GridCluster</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#GridCluster"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.GridCluster"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">build</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#GridCluster.build"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.GridCluster.build"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">defuzzyfy</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">values</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">mode</span></span><spanclass="o"><spanclass="pre">=</span></span><spanclass="default_value"><spanclass="pre">'both'</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#GridCluster.defuzzyfy"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.GridCluster.defuzzyfy"title="Permalink to this definition">¶</a></dt>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.grid.</span></span><spanclass="sig-name descname"><spanclass="pre">IncrementalGridCluster</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#IncrementalGridCluster"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.IncrementalGridCluster"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">fuzzyfy</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#IncrementalGridCluster.fuzzyfy"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.IncrementalGridCluster.fuzzyfy"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">incremental_search</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#IncrementalGridCluster.incremental_search"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.IncrementalGridCluster.incremental_search"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">prune</span></span><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/grid.html#IncrementalGridCluster.prune"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.grid.IncrementalGridCluster.prune"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-mvfts-module"></span><h2>pyFTS.models.multivariate.mvfts module<aclass="headerlink"href="#module-pyFTS.models.multivariate.mvfts"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.mvfts.</span></span><spanclass="sig-name descname"><spanclass="pre">MVFTS</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha_cut</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.alpha_cut"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the minimal membership to be considered on fuzzyfication process</p>
<spanclass="sig-name descname"><spanclass="pre">append_transformation</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">transformation</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.append_transformation"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.append_transformation"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">append_variable</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">var</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.append_variable"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.append_variable"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">apply_transformations</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">params</span></span><spanclass="o"><spanclass="pre">=</span></span><spanclass="default_value"><spanclass="pre">None</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">updateUoD</span></span><spanclass="o"><spanclass="pre">=</span></span><spanclass="default_value"><spanclass="pre">False</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.apply_transformations"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.apply_transformations"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">auto_update</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.auto_update"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating that model is incremental</p>
<spanclass="sig-name descname"><spanclass="pre">benchmark_only</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.benchmark_only"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating a façade for external (non-FTS) model used on benchmarks or ensembles.</p>
<spanclass="sig-name descname"><spanclass="pre">clone_parameters</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">model</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.clone_parameters"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.clone_parameters"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">detail</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.detail"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with the model detailed information</p>
<spanclass="sig-name descname"><spanclass="pre">dump</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.dump"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">flrgs</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#dict"title="(in Python v3.10)"><spanclass="pre">dict</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.flrgs"title="Permalink to this definition">¶</a></dt>
<dd><p>The list of Fuzzy Logical Relationship Groups - FLRG</p>
<spanclass="sig-name descname"><spanclass="pre">forecast</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.forecast"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.forecast"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_ahead</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">steps</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.forecast_ahead"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.forecast_ahead"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_ahead_interval</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">steps</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.forecast_ahead_interval"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.forecast_ahead_interval"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_interval</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.forecast_interval"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.forecast_interval"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">format_data</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.format_data"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.format_data"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">generate_flrg</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">flrs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.generate_flrg"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">generate_flrs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.generate_flrs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.generate_flrs"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">generate_lhs_flrs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.generate_lhs_flrs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.generate_lhs_flrs"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">has_interval_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.has_interval_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports interval forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_point_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.has_point_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports point forecasting, default: True</p>
<spanclass="sig-name descname"><spanclass="pre">has_probability_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.has_probability_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support probabilistic forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_seasonality</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.has_seasonality"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports seasonal indexers, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_clustered</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.is_clustered"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), but works like
<spanclass="sig-name descname"><spanclass="pre">is_high_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.is_high_order"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support orders greater than 1, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_multivariate</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.is_multivariate"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_time_variant</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.is_time_variant"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if this model is time variant</p>
<spanclass="sig-name descname"><spanclass="pre">is_wrapper</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.is_wrapper"title="Permalink to this definition">¶</a></dt>
<dd><p>Indicates that this model is a wrapper for other(s) method(s)</p>
<spanclass="sig-name descname"><spanclass="pre">log</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><spanclass="pre">pd.DataFrame</span></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.log"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">max_lag</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.max_lag"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer indicating the largest lag used by the model. This value also indicates the minimum number of past lags
<spanclass="sig-name descname"><spanclass="pre">min_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.min_order"title="Permalink to this definition">¶</a></dt>
<dd><p>In high order models, this integer value indicates the minimal order supported for the model, default: 1</p>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.order"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer with the model order (number of past lags are used on forecasting)</p>
<spanclass="sig-name descname"><spanclass="pre">original_max</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.original_max"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the upper limit of the Universe of Discourse, the maximal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">original_min</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.original_min"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the lower limit of the Universe of Discourse, the minimal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">partitioner</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference internal"href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner"title="pyFTS.partitioners.partitioner.Partitioner"><spanclass="pre">partitioner.Partitioner</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.partitioner"title="Permalink to this definition">¶</a></dt>
<dd><p>A pyFTS.partitioners.Partitioner object with the Universe of Discourse partitioner used on the model. This is a mandatory dependecy.</p>
<spanclass="sig-name descname"><spanclass="pre">shortname</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.shortname"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with a short name or alias for the model</p>
<spanclass="sig-name descname"><spanclass="pre">standard_horizon</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.standard_horizon"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">train</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#MVFTS.train"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.train"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">transformations</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a><spanclass="p"><spanclass="pre">[</span></span><aclass="reference internal"href="pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation"title="pyFTS.common.transformations.transformation.Transformation"><spanclass="pre">transformation.Transformation</span></a><spanclass="p"><spanclass="pre">]</span></span></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.transformations"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the data transformations (common.Transformations) applied on model pre and post processing, default: []</p>
<spanclass="sig-name descname"><spanclass="pre">transformations_param</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.transformations_param"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the specific parameters for each data transformation</p>
<spanclass="sig-name descname"><spanclass="pre">uod_clip</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.MVFTS.uod_clip"title="Permalink to this definition">¶</a></dt>
<dd><p>Flag indicating if the test data will be clipped inside the training Universe of Discourse</p>
<spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.mvfts.</span></span><spanclass="sig-name descname"><spanclass="pre">product_dict</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/mvfts.html#product_dict"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.mvfts.product_dict"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-multivariate-wmvfts-module"></span><h2>pyFTS.models.multivariate.wmvfts module<aclass="headerlink"href="#module-pyFTS.models.multivariate.wmvfts"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.wmvfts.</span></span><spanclass="sig-name descname"><spanclass="pre">WeightedFLRG</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">append_rhs</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">fset</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG.append_rhs"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_lower</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">sets</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG.get_lower"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG.get_lower"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_midpoint</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">sets</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG.get_midpoint"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG.get_midpoint"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">get_upper</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">sets</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG.get_upper"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG.get_upper"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">weights</span></span><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedFLRG.weights"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedFLRG.weights"title="Permalink to this definition">¶</a></dt>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.wmvfts.</span></span><spanclass="sig-name descname"><spanclass="pre">WeightedMVFTS</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedMVFTS"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha_cut</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.alpha_cut"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the minimal membership to be considered on fuzzyfication process</p>
<spanclass="sig-name descname"><spanclass="pre">auto_update</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.auto_update"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating that model is incremental</p>
<spanclass="sig-name descname"><spanclass="pre">benchmark_only</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.benchmark_only"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating a façade for external (non-FTS) model used on benchmarks or ensembles.</p>
<spanclass="sig-name descname"><spanclass="pre">detail</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.detail"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with the model detailed information</p>
<spanclass="sig-name descname"><spanclass="pre">dump</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.dump"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">flrgs</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#dict"title="(in Python v3.10)"><spanclass="pre">dict</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.flrgs"title="Permalink to this definition">¶</a></dt>
<dd><p>The list of Fuzzy Logical Relationship Groups - FLRG</p>
<spanclass="sig-name descname"><spanclass="pre">generate_flrg</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">flrs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/wmvfts.html#WeightedMVFTS.generate_flrg"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">has_interval_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.has_interval_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports interval forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_point_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.has_point_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports point forecasting, default: True</p>
<spanclass="sig-name descname"><spanclass="pre">has_probability_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.has_probability_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support probabilistic forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_seasonality</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.has_seasonality"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports seasonal indexers, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_clustered</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.is_clustered"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), but works like
<spanclass="sig-name descname"><spanclass="pre">is_high_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.is_high_order"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support orders greater than 1, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_multivariate</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.is_multivariate"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_time_variant</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.is_time_variant"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if this model is time variant</p>
<spanclass="sig-name descname"><spanclass="pre">is_wrapper</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.is_wrapper"title="Permalink to this definition">¶</a></dt>
<dd><p>Indicates that this model is a wrapper for other(s) method(s)</p>
<spanclass="sig-name descname"><spanclass="pre">log</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><spanclass="pre">pd.DataFrame</span></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.log"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">max_lag</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.max_lag"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer indicating the largest lag used by the model. This value also indicates the minimum number of past lags
<spanclass="sig-name descname"><spanclass="pre">min_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.min_order"title="Permalink to this definition">¶</a></dt>
<dd><p>In high order models, this integer value indicates the minimal order supported for the model, default: 1</p>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.order"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer with the model order (number of past lags are used on forecasting)</p>
<spanclass="sig-name descname"><spanclass="pre">original_max</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.original_max"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the upper limit of the Universe of Discourse, the maximal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">original_min</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.original_min"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the lower limit of the Universe of Discourse, the minimal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">partitioner</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference internal"href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner"title="pyFTS.partitioners.partitioner.Partitioner"><spanclass="pre">partitioner.Partitioner</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.partitioner"title="Permalink to this definition">¶</a></dt>
<dd><p>A pyFTS.partitioners.Partitioner object with the Universe of Discourse partitioner used on the model. This is a mandatory dependecy.</p>
<spanclass="sig-name descname"><spanclass="pre">shortname</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.shortname"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with a short name or alias for the model</p>
<spanclass="sig-name descname"><spanclass="pre">standard_horizon</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.standard_horizon"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">transformations</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a><spanclass="p"><spanclass="pre">[</span></span><aclass="reference internal"href="pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation"title="pyFTS.common.transformations.transformation.Transformation"><spanclass="pre">transformation.Transformation</span></a><spanclass="p"><spanclass="pre">]</span></span></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.transformations"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the data transformations (common.Transformations) applied on model pre and post processing, default: []</p>
<spanclass="sig-name descname"><spanclass="pre">transformations_param</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.transformations_param"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the specific parameters for each data transformation</p>
<spanclass="sig-name descname"><spanclass="pre">uod_clip</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.wmvfts.WeightedMVFTS.uod_clip"title="Permalink to this definition">¶</a></dt>
<dd><p>Flag indicating if the test data will be clipped inside the training Universe of Discourse</p>
<spanid="pyfts-models-multivariate-cmvfts-module"></span><h2>pyFTS.models.multivariate.cmvfts module<aclass="headerlink"href="#module-pyFTS.models.multivariate.cmvfts"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.cmvfts.</span></span><spanclass="sig-name descname"><spanclass="pre">ClusteredMVFTS</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha_cut</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.alpha_cut"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the minimal membership to be considered on fuzzyfication process</p>
<spanclass="sig-name descname"><spanclass="pre">auto_update</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.auto_update"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating that model is incremental</p>
<spanclass="sig-name descname"><spanclass="pre">benchmark_only</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.benchmark_only"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating a façade for external (non-FTS) model used on benchmarks or ensembles.</p>
<spanclass="sig-name descname"><spanclass="pre">check_data</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.check_data"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.check_data"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">detail</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.detail"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with the model detailed information</p>
<spanclass="sig-name descname"><spanclass="pre">dump</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.dump"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">flrgs</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#dict"title="(in Python v3.10)"><spanclass="pre">dict</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.flrgs"title="Permalink to this definition">¶</a></dt>
<dd><p>The list of Fuzzy Logical Relationship Groups - FLRG</p>
<spanclass="sig-name descname"><spanclass="pre">forecast</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_ahead_distribution</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">steps</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast_ahead_distribution"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast_ahead_distribution"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_ahead_multivariate</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="n"><spanclass="pre">steps</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast_ahead_multivariate"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast_ahead_multivariate"title="Permalink to this definition">¶</a></dt>
<li><p><strong>data</strong>– Pandas dataframe with one column for each variable and with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>steps</strong>– the number of steps ahead to forecast</p></li>
<li><p><strong>start_at</strong>– in the multi step forecasting, the index of the data where to start forecasting (default: 0)</p></li>
</ul>
</dd>
<dtclass="field-even">Returns</dt>
<ddclass="field-even"><p>a Pandas Dataframe object representing the forecasted values for each variable</p>
<spanclass="sig-name descname"><spanclass="pre">forecast_distribution</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast_distribution"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast_distribution"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_interval</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast_interval"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast_interval"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">forecast_multivariate</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.forecast_multivariate"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.forecast_multivariate"title="Permalink to this definition">¶</a></dt>
<li><p><strong>data</strong>– Pandas dataframe with one column for each variable and with the minimal length equal to the max_lag of the model</p></li>
<li><p><strong>kwargs</strong>– model specific parameters</p></li>
</ul>
</dd>
<dtclass="field-even">Returns</dt>
<ddclass="field-even"><p>a Pandas Dataframe object representing the forecasted values for each variable</p>
<spanclass="sig-name descname"><spanclass="pre">fts_method</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.fts_method"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">fts_params</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.fts_params"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">fuzzyfy</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.fuzzyfy"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.fuzzyfy"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">has_interval_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.has_interval_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports interval forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_point_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.has_point_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports point forecasting, default: True</p>
<spanclass="sig-name descname"><spanclass="pre">has_probability_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.has_probability_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support probabilistic forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_seasonality</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.has_seasonality"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports seasonal indexers, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_clustered</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.is_clustered"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), but works like
<spanclass="sig-name descname"><spanclass="pre">is_high_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.is_high_order"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support orders greater than 1, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_multivariate</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.is_multivariate"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_time_variant</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.is_time_variant"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if this model is time variant</p>
<spanclass="sig-name descname"><spanclass="pre">is_wrapper</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.is_wrapper"title="Permalink to this definition">¶</a></dt>
<dd><p>Indicates that this model is a wrapper for other(s) method(s)</p>
<spanclass="sig-name descname"><spanclass="pre">log</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><spanclass="pre">pd.DataFrame</span></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.log"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">max_lag</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.max_lag"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer indicating the largest lag used by the model. This value also indicates the minimum number of past lags
<spanclass="sig-name descname"><spanclass="pre">min_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.min_order"title="Permalink to this definition">¶</a></dt>
<dd><p>In high order models, this integer value indicates the minimal order supported for the model, default: 1</p>
<spanclass="sig-name descname"><spanclass="pre">model</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.model"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.order"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer with the model order (number of past lags are used on forecasting)</p>
<spanclass="sig-name descname"><spanclass="pre">original_max</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.original_max"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the upper limit of the Universe of Discourse, the maximal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">original_min</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.original_min"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the lower limit of the Universe of Discourse, the minimal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">partitioner</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference internal"href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner"title="pyFTS.partitioners.partitioner.Partitioner"><spanclass="pre">partitioner.Partitioner</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.partitioner"title="Permalink to this definition">¶</a></dt>
<dd><p>A pyFTS.partitioners.Partitioner object with the Universe of Discourse partitioner used on the model. This is a mandatory dependecy.</p>
<spanclass="sig-name descname"><spanclass="pre">shortname</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.shortname"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with a short name or alias for the model</p>
<spanclass="sig-name descname"><spanclass="pre">standard_horizon</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.standard_horizon"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">train</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/cmvfts.html#ClusteredMVFTS.train"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.train"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">transformations</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a><spanclass="p"><spanclass="pre">[</span></span><aclass="reference internal"href="pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation"title="pyFTS.common.transformations.transformation.Transformation"><spanclass="pre">transformation.Transformation</span></a><spanclass="p"><spanclass="pre">]</span></span></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.transformations"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the data transformations (common.Transformations) applied on model pre and post processing, default: []</p>
<spanclass="sig-name descname"><spanclass="pre">transformations_param</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.transformations_param"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the specific parameters for each data transformation</p>
<spanclass="sig-name descname"><spanclass="pre">uod_clip</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.cmvfts.ClusteredMVFTS.uod_clip"title="Permalink to this definition">¶</a></dt>
<dd><p>Flag indicating if the test data will be clipped inside the training Universe of Discourse</p>
<spanid="pyfts-models-multivariate-granular-module"></span><h2>pyFTS.models.multivariate.granular module<aclass="headerlink"href="#module-pyFTS.models.multivariate.granular"title="Permalink to this headline">¶</a></h2>
<emclass="property"><spanclass="pre">class</span><spanclass="w"></span></em><spanclass="sig-prename descclassname"><spanclass="pre">pyFTS.models.multivariate.granular.</span></span><spanclass="sig-name descname"><spanclass="pre">GranularWMVFTS</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/granular.html#GranularWMVFTS"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">alpha_cut</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.alpha_cut"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the minimal membership to be considered on fuzzyfication process</p>
<spanclass="sig-name descname"><spanclass="pre">auto_update</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.auto_update"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating that model is incremental</p>
<spanclass="sig-name descname"><spanclass="pre">benchmark_only</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.benchmark_only"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating a façade for external (non-FTS) model used on benchmarks or ensembles.</p>
<spanclass="sig-name descname"><spanclass="pre">detail</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.detail"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with the model detailed information</p>
<spanclass="sig-name descname"><spanclass="pre">dump</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.dump"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">flrgs</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#dict"title="(in Python v3.10)"><spanclass="pre">dict</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.flrgs"title="Permalink to this definition">¶</a></dt>
<dd><p>The list of Fuzzy Logical Relationship Groups - FLRG</p>
<spanclass="sig-name descname"><spanclass="pre">has_interval_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.has_interval_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports interval forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_point_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.has_point_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports point forecasting, default: True</p>
<spanclass="sig-name descname"><spanclass="pre">has_probability_forecasting</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.has_probability_forecasting"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support probabilistic forecasting, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">has_seasonality</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.has_seasonality"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model supports seasonal indexers, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_clustered</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.is_clustered"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), but works like
<spanclass="sig-name descname"><spanclass="pre">is_high_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.is_high_order"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support orders greater than 1, default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_multivariate</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.is_multivariate"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if the model support multivariate time series (Pandas DataFrame), default: False</p>
<spanclass="sig-name descname"><spanclass="pre">is_time_variant</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.is_time_variant"title="Permalink to this definition">¶</a></dt>
<dd><p>A boolean value indicating if this model is time variant</p>
<spanclass="sig-name descname"><spanclass="pre">is_wrapper</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.is_wrapper"title="Permalink to this definition">¶</a></dt>
<dd><p>Indicates that this model is a wrapper for other(s) method(s)</p>
<spanclass="sig-name descname"><spanclass="pre">log</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><spanclass="pre">pd.DataFrame</span></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.log"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">max_lag</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.max_lag"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer indicating the largest lag used by the model. This value also indicates the minimum number of past lags
<spanclass="sig-name descname"><spanclass="pre">min_order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.min_order"title="Permalink to this definition">¶</a></dt>
<dd><p>In high order models, this integer value indicates the minimal order supported for the model, default: 1</p>
<spanclass="sig-name descname"><spanclass="pre">model</span></span><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.model"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">name</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.name"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">order</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.order"title="Permalink to this definition">¶</a></dt>
<dd><p>A integer with the model order (number of past lags are used on forecasting)</p>
<spanclass="sig-name descname"><spanclass="pre">original_max</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.original_max"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the upper limit of the Universe of Discourse, the maximal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">original_min</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#float"title="(in Python v3.10)"><spanclass="pre">float</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.original_min"title="Permalink to this definition">¶</a></dt>
<dd><p>A float with the lower limit of the Universe of Discourse, the minimal value found on training data</p>
<spanclass="sig-name descname"><spanclass="pre">partitioner</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference internal"href="pyFTS.partitioners.html#pyFTS.partitioners.partitioner.Partitioner"title="pyFTS.partitioners.partitioner.Partitioner"><spanclass="pre">partitioner.Partitioner</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.partitioner"title="Permalink to this definition">¶</a></dt>
<dd><p>A pyFTS.partitioners.Partitioner object with the Universe of Discourse partitioner used on the model. This is a mandatory dependecy.</p>
<spanclass="sig-name descname"><spanclass="pre">shortname</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#str"title="(in Python v3.10)"><spanclass="pre">str</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.shortname"title="Permalink to this definition">¶</a></dt>
<dd><p>A string with a short name or alias for the model</p>
<spanclass="sig-name descname"><spanclass="pre">standard_horizon</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#int"title="(in Python v3.10)"><spanclass="pre">int</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.standard_horizon"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">train</span></span><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n"><spanclass="pre">data</span></span></em>, <emclass="sig-param"><spanclass="o"><spanclass="pre">**</span></span><spanclass="n"><spanclass="pre">kwargs</span></span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/multivariate/granular.html#GranularWMVFTS.train"><spanclass="viewcode-link"><spanclass="pre">[source]</span></span></a><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.train"title="Permalink to this definition">¶</a></dt>
<spanclass="sig-name descname"><spanclass="pre">transformations</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a><spanclass="p"><spanclass="pre">[</span></span><aclass="reference internal"href="pyFTS.common.transformations.html#pyFTS.common.transformations.transformation.Transformation"title="pyFTS.common.transformations.transformation.Transformation"><spanclass="pre">transformation.Transformation</span></a><spanclass="p"><spanclass="pre">]</span></span></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.transformations"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the data transformations (common.Transformations) applied on model pre and post processing, default: []</p>
<spanclass="sig-name descname"><spanclass="pre">transformations_param</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/stdtypes.html#list"title="(in Python v3.10)"><spanclass="pre">list</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.transformations_param"title="Permalink to this definition">¶</a></dt>
<dd><p>A list with the specific parameters for each data transformation</p>
<spanclass="sig-name descname"><spanclass="pre">uod_clip</span></span><emclass="property"><spanclass="p"><spanclass="pre">:</span></span><spanclass="w"></span><aclass="reference external"href="https://docs.python.org/3/library/functions.html#bool"title="(in Python v3.10)"><spanclass="pre">bool</span></a></em><aclass="headerlink"href="#pyFTS.models.multivariate.granular.GranularWMVFTS.uod_clip"title="Permalink to this definition">¶</a></dt>
<dd><p>Flag indicating if the test data will be clipped inside the training Universe of Discourse</p>
