<spanid="pyfts-models-nonstationary-common-module"></span><h2>pyFTS.models.nonstationary.common module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.common"title="Permalink to this headline">¶</a></h2>
<p>Non Stationary Fuzzy Sets</p>
<p>GARIBALDI, Jonathan M.; JAROSZEWSKI, Marcin; MUSIKASUWAN, Salang. Nonstationary fuzzy sets.
IEEE Transactions on Fuzzy Systems, v. 16, n. 4, p. 1072-1086, 2008.</p>
<codeclass="sig-name descname">get_lower</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_lower"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.get_lower"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_midpoint</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_midpoint"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.get_midpoint"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_upper</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.get_upper"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.get_upper"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">location</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.location"title="Permalink to this definition">¶</a></dt>
<dd><p>Pertubation function that affects the location of the membership function</p>
<codeclass="sig-name descname">location_params</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.location_params"title="Permalink to this definition">¶</a></dt>
<dd><p>Parameters for location pertubation function</p>
<codeclass="sig-name descname">membership</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.membership"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.membership"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">noise</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.noise"title="Permalink to this definition">¶</a></dt>
<dd><p>Pertubation function that adds noise on the membership function</p>
<codeclass="sig-name descname">noise_params</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.noise_params"title="Permalink to this definition">¶</a></dt>
<dd><p>Parameters for noise pertubation function</p>
<codeclass="sig-name descname">perform_location</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em>, <emclass="sig-param"><spanclass="n">param</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perform_location"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.perform_location"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">perform_width</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em>, <emclass="sig-param"><spanclass="n">param</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perform_width"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.perform_width"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">perturbate_parameters</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#FuzzySet.perturbate_parameters"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.perturbate_parameters"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">width</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.width"title="Permalink to this definition">¶</a></dt>
<dd><p>Pertubation function that affects the width of the membership function</p>
<codeclass="sig-name descname">width_params</code><aclass="headerlink"href="#pyFTS.models.nonstationary.common.FuzzySet.width_params"title="Permalink to this definition">¶</a></dt>
<dd><p>Parameters for width pertubation function</p>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><codeclass="sig-name descname">check_bounds</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="n">partitioner</span></em>, <emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#check_bounds"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.check_bounds"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><codeclass="sig-name descname">check_bounds_index</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="n">partitioner</span></em>, <emclass="sig-param"><spanclass="n">t</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#check_bounds_index"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.check_bounds_index"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><codeclass="sig-name descname">fuzzify</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">inst</span></em>, <emclass="sig-param"><spanclass="n">t</span></em>, <emclass="sig-param"><spanclass="n">fuzzySets</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#fuzzify"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.fuzzify"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.common.</code><codeclass="sig-name descname">window_index</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">t</span></em>, <emclass="sig-param"><spanclass="n">window_size</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/common.html#window_index"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.common.window_index"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-nonstationary-cvfts-module"></span><h2>pyFTS.models.nonstationary.cvfts module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.cvfts"title="Permalink to this headline">¶</a></h2>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.cvfts.</code><codeclass="sig-name descname">ConditionalVarianceFTS</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">forecast</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.forecast"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast"title="Permalink to this definition">¶</a></dt>
<dd><p>Point forecast one step ahead</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– time series data 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 list with the forecasted values</p>
<codeclass="sig-name descname">forecast_interval</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.forecast_interval"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.forecast_interval"title="Permalink to this definition">¶</a></dt>
<dd><p>Interval forecast one step ahead</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– time series data 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 list with the prediction intervals</p>
<codeclass="sig-name descname">generate_flrg</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">flrs</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.generate_flrg"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">perturbation_factors</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.perturbation_factors"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">perturbation_factors__old</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.perturbation_factors__old"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.perturbation_factors__old"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">train</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#ConditionalVarianceFTS.train"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.ConditionalVarianceFTS.train"title="Permalink to this definition">¶</a></dt>
<dd><p>Method specific parameter fitting</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– training time series data</p></li>
<li><p><strong>kwargs</strong>– Method specific parameters</p></li>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.cvfts.</code><codeclass="sig-name descname">HighOrderNonstationaryFLRG</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">order</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_lhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">c</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG.append_lhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_lhs"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_rhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">c</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/cvfts.html#HighOrderNonstationaryFLRG.append_rhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.cvfts.HighOrderNonstationaryFLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-nonstationary-flrg-module"></span><h2>pyFTS.models.nonstationary.flrg module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.flrg"title="Permalink to this headline">¶</a></h2>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.flrg.</code><codeclass="sig-name descname">NonStationaryFLRG</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">LHS</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_key</code><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_key"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_key"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_lower</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">*</span><spanclass="n">args</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_lower"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_lower"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_membership</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">*</span><spanclass="n">args</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_membership"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_membership"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_midpoint</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">*</span><spanclass="n">args</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_midpoint"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_midpoint"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_upper</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">*</span><spanclass="n">args</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.get_upper"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.get_upper"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">unpack_args</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">*</span><spanclass="n">args</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/flrg.html#NonStationaryFLRG.unpack_args"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.flrg.NonStationaryFLRG.unpack_args"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-nonstationary-honsfts-module"></span><h2>pyFTS.models.nonstationary.honsfts module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.honsfts"title="Permalink to this headline">¶</a></h2>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.honsfts.</code><codeclass="sig-name descname">HighOrderNonStationaryFLRG</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">order</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_lhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">c</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.append_lhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_lhs"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_rhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">fset</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.append_rhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_lower</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">sets</span></em>, <emclass="sig-param"><spanclass="n">perturb</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_lower"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_lower"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the lower bound value for the RHS fuzzy sets</p>
<codeclass="sig-name descname">get_midpoint</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">sets</span></em>, <emclass="sig-param"><spanclass="n">perturb</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_midpoint"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_midpoint"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
<codeclass="sig-name descname">get_upper</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">sets</span></em>, <emclass="sig-param"><spanclass="n">perturb</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.get_upper"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.get_upper"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the upper bound value for the RHS fuzzy sets</p>
<codeclass="sig-name descname">weights</code><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFLRG.weights"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFLRG.weights"title="Permalink to this definition">¶</a></dt>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.honsfts.</code><codeclass="sig-name descname">HighOrderNonStationaryFTS</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">configure_lags</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.configure_lags"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.configure_lags"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">forecast</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.forecast"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.forecast"title="Permalink to this definition">¶</a></dt>
<dd><p>Point forecast one step ahead</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– time series data 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 list with the forecasted values</p>
<codeclass="sig-name descname">generate_flrg</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.generate_flrg"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">train</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/honsfts.html#HighOrderNonStationaryFTS.train"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.honsfts.HighOrderNonStationaryFTS.train"title="Permalink to this definition">¶</a></dt>
<dd><p>Method specific parameter fitting</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– training time series data</p></li>
<li><p><strong>kwargs</strong>– Method specific parameters</p></li>
<spanid="pyfts-models-nonstationary-nsfts-module"></span><h2>pyFTS.models.nonstationary.nsfts module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.nsfts"title="Permalink to this headline">¶</a></h2>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><codeclass="sig-name descname">ConventionalNonStationaryFLRG</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">LHS</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_rhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">c</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG.append_rhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_key</code><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#ConventionalNonStationaryFLRG.get_key"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.ConventionalNonStationaryFLRG.get_key"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a unique identifier for this FLRG</p>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><codeclass="sig-name descname">NonStationaryFTS</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">conditional_perturbation_factors</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.conditional_perturbation_factors"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.conditional_perturbation_factors"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">forecast</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.forecast"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast"title="Permalink to this definition">¶</a></dt>
<dd><p>Point forecast one step ahead</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– time series data 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 list with the forecasted values</p>
<codeclass="sig-name descname">forecast_interval</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">ndata</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.forecast_interval"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.forecast_interval"title="Permalink to this definition">¶</a></dt>
<dd><p>Interval forecast one step ahead</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– time series data 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 list with the prediction intervals</p>
<codeclass="sig-name descname">generate_flrg</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">flrs</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.generate_flrg"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">train</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#NonStationaryFTS.train"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.NonStationaryFTS.train"title="Permalink to this definition">¶</a></dt>
<dd><p>Method specific parameter fitting</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– training time series data</p></li>
<li><p><strong>kwargs</strong>– Method specific parameters</p></li>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><codeclass="sig-name descname">WeightedNonStationaryFLRG</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">LHS</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">append_rhs</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">c</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.append_rhs"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.append_rhs"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_key</code><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.get_key"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_key"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a unique identifier for this FLRG</p>
<codeclass="sig-name descname">get_midpoint</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">sets</span></em>, <emclass="sig-param"><spanclass="n">perturb</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.get_midpoint"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.get_midpoint"title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the midpoint value for the RHS fuzzy sets</p>
<codeclass="sig-name descname">weights</code><spanclass="sig-paren">(</span><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFLRG.weights"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFLRG.weights"title="Permalink to this definition">¶</a></dt>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.nsfts.</code><codeclass="sig-name descname">WeightedNonStationaryFTS</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">generate_flrg</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">flrs</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS.generate_flrg"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.generate_flrg"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">train</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/nsfts.html#WeightedNonStationaryFTS.train"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.nsfts.WeightedNonStationaryFTS.train"title="Permalink to this definition">¶</a></dt>
<dd><p>Method specific parameter fitting</p>
<dlclass="field-list simple">
<dtclass="field-odd">Parameters</dt>
<ddclass="field-odd"><ulclass="simple">
<li><p><strong>data</strong>– training time series data</p></li>
<li><p><strong>kwargs</strong>– Method specific parameters</p></li>
<spanid="pyfts-models-nonstationary-partitioners-module"></span><h2>pyFTS.models.nonstationary.partitioners module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.partitioners"title="Permalink to this headline">¶</a></h2>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><codeclass="sig-name descname">PolynomialNonStationaryPartitioner</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="n">part</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">build</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.build"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.build"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">get_polynomial_perturbations</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.get_polynomial_perturbations"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.get_polynomial_perturbations"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">poly_width</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">par1</span></em>, <emclass="sig-param"><spanclass="n">par2</span></em>, <emclass="sig-param"><spanclass="n">rng</span></em>, <emclass="sig-param"><spanclass="n">deg</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.poly_width"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.poly_width"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">scale_down</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">pct</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.scale_down"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_down"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">scale_up</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">pct</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#PolynomialNonStationaryPartitioner.scale_up"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.PolynomialNonStationaryPartitioner.scale_up"title="Permalink to this definition">¶</a></dt>
<emclass="property">class </em><codeclass="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><codeclass="sig-name descname">SimpleNonStationaryPartitioner</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="n">part</span></em>, <emclass="sig-param"><spanclass="o">**</span><spanclass="n">kwargs</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-name descname">build</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#SimpleNonStationaryPartitioner.build"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.SimpleNonStationaryPartitioner.build"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.partitioners.</code><codeclass="sig-name descname">simplenonstationary_gridpartitioner_builder</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">data</span></em>, <emclass="sig-param"><spanclass="n">npart</span></em>, <emclass="sig-param"><spanclass="n">transformation</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/partitioners.html#simplenonstationary_gridpartitioner_builder"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.partitioners.simplenonstationary_gridpartitioner_builder"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-nonstationary-perturbation-module"></span><h2>pyFTS.models.nonstationary.perturbation module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.perturbation"title="Permalink to this headline">¶</a></h2>
<p>Pertubation functions for Non Stationary Fuzzy Sets</p>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><codeclass="sig-name descname">exponential</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">parameters</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/perturbation.html#exponential"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.perturbation.exponential"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><codeclass="sig-name descname">linear</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">parameters</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/perturbation.html#linear"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.perturbation.linear"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><codeclass="sig-name descname">periodic</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">parameters</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/perturbation.html#periodic"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.perturbation.periodic"title="Permalink to this definition">¶</a></dt>
<codeclass="sig-prename descclassname">pyFTS.models.nonstationary.perturbation.</code><codeclass="sig-name descname">polynomial</code><spanclass="sig-paren">(</span><emclass="sig-param"><spanclass="n">x</span></em>, <emclass="sig-param"><spanclass="n">parameters</span></em><spanclass="sig-paren">)</span><aclass="reference internal"href="_modules/pyFTS/models/nonstationary/perturbation.html#polynomial"><spanclass="viewcode-link">[source]</span></a><aclass="headerlink"href="#pyFTS.models.nonstationary.perturbation.polynomial"title="Permalink to this definition">¶</a></dt>
<spanid="pyfts-models-nonstationary-util-module"></span><h2>pyFTS.models.nonstationary.util module<aclass="headerlink"href="#module-pyFTS.models.nonstationary.util"title="Permalink to this headline">¶</a></h2>
<spanid="module-contents"></span><h2>Module contents<aclass="headerlink"href="#module-pyFTS.models.nonstationary"title="Permalink to this headline">¶</a></h2>
<p>Fuzzy time series with nonstationary fuzzy sets, for heteroskedastic data</p>