Updating noise models and periodic meta functions to call new functions.

TeaspoonTDA · lizliz · Aug 25, 2024 · Jul 30, 2024 · Aug 6, 2024 · Aug 7, 2024
commit 6d4d9d70cdb0e1ddb531e383aab024ae8d6f3908
diff --git a/docs/.buildinfo b/docs/.buildinfo
@@ -1,4 +1,4 @@
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@@ -18,6 +18,7 @@
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@@ -51,62 +52,64 @@
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../modules/index.html">2. Modules</a><ul>
-<li class="toctree-l2"><a class="reference internal" href="../modules/ParamSelection/index.html">2.1. Parameter Selection Module</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html">2.1.1. Mutual Information (MI) for time delay (tau).</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../modules/MakeData/index.html">2.1. Make Data (MakeData) Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../modules/MakeData/PointCloud.html">2.1.1. Point Cloud Data Generation (PointCloud) Module</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/MakeData/DynSysLib/index.html">2.1.2. Dynamic Systems Library (DynSysLib) Module</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="../modules/ParamSelection/index.html">2.2. Parameter Selection Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html">2.2.1. Mutual Information (MI) for time delay (tau).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html#teaspoon.parameter_selection.MI_delay.MI_DV"><code class="docutils literal notranslate"><span class="pre">MI_DV()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html#teaspoon.parameter_selection.MI_delay.MI_basic"><code class="docutils literal notranslate"><span class="pre">MI_basic()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html#teaspoon.parameter_selection.MI_delay.MI_for_delay"><code class="docutils literal notranslate"><span class="pre">MI_for_delay()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MI.html#teaspoon.parameter_selection.MI_delay.MI_kraskov"><code class="docutils literal notranslate"><span class="pre">MI_kraskov()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/AC.html">2.1.2. Auto-correlation for time delay (tau).</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/AC.html">2.2.2. Auto-correlation for time delay (tau).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/AC.html#teaspoon.parameter_selection.autocorrelation.autoCorrelation_tau"><code class="docutils literal notranslate"><span class="pre">autoCorrelation_tau()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FSA.html">2.1.3. Statistical analysis of the Fourier spectrum for time delay (tau).</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FSA.html">2.2.3. Statistical analysis of the Fourier spectrum for time delay (tau).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FSA.html#teaspoon.parameter_selection.delay_LMS.AbsFFT"><code class="docutils literal notranslate"><span class="pre">AbsFFT()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FSA.html#teaspoon.parameter_selection.delay_LMS.LMSforDelay"><code class="docutils literal notranslate"><span class="pre">LMSforDelay()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FSA.html#teaspoon.parameter_selection.delay_LMS.MaximumFrequency"><code class="docutils literal notranslate"><span class="pre">MaximumFrequency()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/PAMI.html">2.1.4. Permutation Auto Mutual Information (PAMI) for time delay (tau).</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/PAMI.html">2.2.4. Permutation Auto Mutual Information (PAMI) for time delay (tau).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/PAMI.html#teaspoon.parameter_selection.PAMI_delay.PAMI_for_delay"><code class="docutils literal notranslate"><span class="pre">PAMI_for_delay()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/PAMI.html#teaspoon.parameter_selection.PAMI_delay.mutualPerm"><code class="docutils literal notranslate"><span class="pre">mutualPerm()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MsPE.html">2.1.5. MsPE for time delay (tau) and dimension (n).</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MsPE.html">2.2.5. MsPE for time delay (tau) and dimension (n).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MsPE.html#teaspoon.parameter_selection.MsPE.MsPE_n"><code class="docutils literal notranslate"><span class="pre">MsPE_n()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/MsPE.html#teaspoon.parameter_selection.MsPE.MsPE_tau"><code class="docutils literal notranslate"><span class="pre">MsPE_tau()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FNN.html">2.1.6. False Nearest Neighbors (FNN) for dimension (n).</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FNN.html">2.2.6. False Nearest Neighbors (FNN) for dimension (n).</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../modules/ParamSelection/FNN.html#teaspoon.parameter_selection.FNN_n.FNN_n"><code class="docutils literal notranslate"><span class="pre">FNN_n()</span></code></a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="../modules/ML/index.html">2.2. Machine Learning (ML) Module</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ML/DS.html">2.2.1. Datasets</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ML/F_PD.html">2.2.2. Featurization</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ML/CL.html">2.2.3. Classification</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/ML/index.html#references">2.2.4. References</a></li>
-</ul>
-</li>
-<li class="toctree-l2"><a class="reference internal" href="../modules/TDA/index.html">2.3. Topological Data Analaysis (TDA) Module</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/PHN.html">2.3.1. Persistent Homology of Networks (PHN) Module</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/distances.html">2.3.2. Distances</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/drawing.html">2.3.3. Drawing</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/persistence.html">2.3.4. Persistence</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/sublevel_set_persistence.html">2.3.5. Zero Dimensional Sublevel Set Persistence (SLSP) Module</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/magnitude.html">2.3.6. Magnitude</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/fast_zigzag.html">2.3.7. Fast Zigzag</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../modules/SP/index.html">2.3. Signal Processing (SP) Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/tsa.html">2.3.1. Time Series Analysis (TSA) Tools</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/network.html">2.3.2. Network Representation of Time Series</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/information.html">2.3.3. Information Module</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/misc.html">2.3.4. Miscellaneous</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/texture_analysis.html">2.3.5. Texture Analysis</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/SP/stoch_bif.html">2.3.6. Stochastic P-Bifurcation Detection</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="../modules/SP/index.html">2.4. Signal Processing (SP) Module</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/tsa.html">2.4.1. Time Series Analysis (TSA) Tools</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/network.html">2.4.2. Network Representation of Time Series</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/information.html">2.4.3. Information Module</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/misc.html">2.4.4. Miscellaneous</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/texture_analysis.html">2.4.5. Texture Analysis</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/SP/stoch_bif.html">2.4.6. Stochastic P-Bifurcation Detection</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../modules/TDA/index.html">2.4. Topological Data Analaysis (TDA) Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/PHN.html">2.4.1. Persistent Homology of Networks (PHN) Module</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/distances.html">2.4.2. Distances</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/drawing.html">2.4.3. Drawing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/persistence.html">2.4.4. Persistence</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/sublevel_set_persistence.html">2.4.5. Zero Dimensional Sublevel Set Persistence (SLSP) Module</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/magnitude.html">2.4.6. Magnitude</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/TDA/fast_zigzag.html">2.4.7. Fast Zigzag</a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="../modules/MakeData/index.html">2.5. Make Data (MakeData) Module</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="../modules/MakeData/PointCloud.html">2.5.1. Point Cloud Data Generation (PointCloud) Module</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../modules/MakeData/DynSysLib/index.html">2.5.2. Dynamic Systems Library (DynSysLib) Module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../modules/ML/index.html">2.5. Machine Learning (ML) Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ML/DS.html">2.5.1. Datasets</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ML/F_PD.html">2.5.2. Featurization</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ML/CL.html">2.5.3. Classification</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../modules/ML/index.html#references">2.5.4. References</a></li>
 </ul>
 </li>
 </ul>
 </li>
-<li class="toctree-l1"><a class="reference internal" href="../notebooks/index.html">3. Example Notebooks</a><ul class="simple">
+<li class="toctree-l1"><a class="reference internal" href="../notebooks/index.html">3. Example Notebooks</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="../notebooks/distance.html">3.1. Computing Wasserstein and Bottleneck Distances</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../notebooks/persistence_images.html">3.2. Computing Features from Persistence Images</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="../contributing.html">4. Contributing</a><ul>