Deploying to gh-pages from @ 95967eb 🚀

_modules/hoi/metrics/dtc.html

@@ -458,7 +458,7 @@ <h1>Source code for hoi.metrics.dtc</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/gradient_oinfo.html

@@ -435,7 +435,7 @@ <h1>Source code for hoi.metrics.gradient_oinfo</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/info_tot.html

@@ -430,7 +430,7 @@ <h1>Source code for hoi.metrics.info_tot</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/infotopo.html

@@ -473,7 +473,7 @@ <h1>Source code for hoi.metrics.infotopo</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/oinfo.html

@@ -463,7 +463,7 @@ <h1>Source code for hoi.metrics.oinfo</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/phiid_red.html

@@ -450,7 +450,7 @@ <h1>Source code for hoi.metrics.phiid_red</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/phiid_syn.html

@@ -458,7 +458,7 @@ <h1>Source code for hoi.metrics.phiid_syn</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/red_mmi.html

@@ -427,7 +427,7 @@ <h1>Source code for hoi.metrics.red_mmi</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/rsi.html

@@ -454,7 +454,7 @@ <h1>Source code for hoi.metrics.rsi</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/sinfo.html

@@ -459,7 +459,7 @@ <h1>Source code for hoi.metrics.sinfo</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/syn_mmi.html

@@ -443,7 +443,7 @@ <h1>Source code for hoi.metrics.syn_mmi</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

_modules/hoi/metrics/tc.html

@@ -457,7 +457,7 @@ <h1>Source code for hoi.metrics.tc</h1><div class="highlight"><pre>
 <span class="sd">        ----------</span>
 <span class="sd">        minsize, maxsize : int | 2, None</span>
 <span class="sd">            Minimum and maximum size of the multiplets</span>
-<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel}</span>
+<span class="sd">        method : {&#39;gc&#39;, &#39;binning&#39;, &#39;knn&#39;, &#39;kernel&#39;, callable}</span>
 <span class="sd">            Name of the method to compute entropy. Use either :</span>
 
 <span class="sd">                * &#39;gc&#39;: gaussian copula entropy [default]. See</span>

api/generated/hoi.metrics.DTC.html

@@ -568,7 +568,7 @@ <h1>hoi.metrics.DTC<a class="headerlink" href="#hoi-metrics-dtc" title="Link to
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.GradientOinfo.html

@@ -573,7 +573,7 @@ <h1>hoi.metrics.GradientOinfo<a class="headerlink" href="#hoi-metrics-gradientoi
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.InfoTopo.html

@@ -567,7 +567,7 @@ <h1>hoi.metrics.InfoTopo<a class="headerlink" href="#hoi-metrics-infotopo" title
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.InfoTot.html

@@ -558,7 +558,7 @@ <h1>hoi.metrics.InfoTot<a class="headerlink" href="#hoi-metrics-infotot" title="
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.Oinfo.html

@@ -572,7 +572,7 @@ <h1>hoi.metrics.Oinfo<a class="headerlink" href="#hoi-metrics-oinfo" title="Link
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.RSI.html

@@ -581,7 +581,7 @@ <h1>hoi.metrics.RSI<a class="headerlink" href="#hoi-metrics-rsi" title="Link to
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.RedundancyMMI.html

@@ -553,7 +553,7 @@ <h1>hoi.metrics.RedundancyMMI<a class="headerlink" href="#hoi-metrics-redundancy
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.RedundancyphiID.html

@@ -561,7 +561,7 @@ <h1>hoi.metrics.RedundancyphiID<a class="headerlink" href="#hoi-metrics-redundan
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.Sinfo.html

@@ -566,7 +566,7 @@ <h1>hoi.metrics.Sinfo<a class="headerlink" href="#hoi-metrics-sinfo" title="Link
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.SynergyMMI.html

@@ -553,7 +553,7 @@ <h1>hoi.metrics.SynergyMMI<a class="headerlink" href="#hoi-metrics-synergymmi" t
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.SynergyphiID.html

@@ -563,7 +563,7 @@ <h1>hoi.metrics.SynergyphiID<a class="headerlink" href="#hoi-metrics-synergyphii
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

api/generated/hoi.metrics.TC.html

@@ -567,7 +567,7 @@ <h1>hoi.metrics.TC<a class="headerlink" href="#hoi-metrics-tc" title="Link to th
 <dd class="field-odd"><dl>
 <dt><strong>minsize, maxsize</strong><span class="classifier">int | 2, None</span></dt><dd><p>Minimum and maximum size of the multiplets</p>
 </dd>
-<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
+<dt><strong>method</strong><span class="classifier">{‘gc’, ‘binning’, ‘knn’, ‘kernel’, callable}</span></dt><dd><p>Name of the method to compute entropy. Use either :</p>
 <blockquote>
 <div><ul class="simple">
 <li><p>‘gc’: gaussian copula entropy [default]. See

auto_examples/it/plot_entropies.html

@@ -606,7 +606,7 @@ <h2>Entropy of data sampled from an exponential distribution<a class="headerlink
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../../_images/sphx_glr_plot_entropies_003.png" srcset="../../_images/sphx_glr_plot_entropies_003.png" alt="Comparison of entropy estimators when the data are sampled from a exponential distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 18.130 seconds)</p>
+<img src="../../_images/sphx_glr_plot_entropies_003.png" srcset="../../_images/sphx_glr_plot_entropies_003.png" alt="Comparison of entropy estimators when the data are sampled from a exponential distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 18.197 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-it-plot-entropies-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/a1ef8dbbc19c785bec2a5cc12335798e/plot_entropies.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_entropies.ipynb</span></code></a></p>

auto_examples/it/plot_mi.html

@@ -564,7 +564,7 @@ <h2>MI of data sampled from normal distribution<a class="headerlink" href="#mi-o
 <span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../../_images/sphx_glr_plot_mi_001.png" srcset="../../_images/sphx_glr_plot_mi_001.png" alt="Comparison of MI estimators when the data are sampled from a normal distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 17.373 seconds)</p>
+<img src="../../_images/sphx_glr_plot_mi_001.png" srcset="../../_images/sphx_glr_plot_mi_001.png" alt="Comparison of MI estimators when the data are sampled from a normal distribution" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 17.579 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-it-plot-mi-py">
 <div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
 <p><a class="reference download internal" download="" href="../../_downloads/f14e92090ebeb63084124f7809315b90/plot_mi.ipynb"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Jupyter</span> <span class="pre">notebook:</span> <span class="pre">plot_mi.ipynb</span></code></a></p>