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<!DOCTYPE html>
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<li class="toctree-l2"><a class="reference internal" href="python/examples/interpretable-classification.html">Interpretable Classification</a></li>
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<li class="toctree-l2"><a class="reference internal" href="python/examples/prototype-selection.html">Prototype Selection</a></li>
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<h1 id="index">Index</h1>
<div class="genindex-jumpbox">
<a href="#A"><strong>A</strong></a>
| <a href="#C"><strong>C</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#E"><strong>E</strong></a>
| <a href="#F"><strong>F</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#L"><strong>L</strong></a>
| <a href="#M"><strong>M</strong></a>
| <a href="#P"><strong>P</strong></a>
| <a href="#R"><strong>R</strong></a>
| <a href="#S"><strong>S</strong></a>
| <a href="#T"><strong>T</strong></a>
| <a href="#V"><strong>V</strong></a>
</div>
<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/APLRClassifier.html#interpret.glassbox.APLRClassifier">APLRClassifier (class in interpret.glassbox)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/APLRRegressor.html#interpret.glassbox.APLRRegressor">APLRRegressor (class in interpret.glassbox)</a>
</li>
</ul></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ClassHistogram.html#interpret.data.ClassHistogram">ClassHistogram (class in interpret.data)</a>
</li>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree">ClassificationTree (class in interpret.glassbox)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.copy">copy() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.copy">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.copy">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.copy">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="framework.html#interpret.provider.DashProvider">DashProvider (class in interpret.provider)</a>
</li>
<li><a href="framework.html#interpret.api.base.ExplanationMixin.data">data() (interpret.api.base.ExplanationMixin method)</a>
</li>
<li><a href="python/api/debug_mode.html#interpret.develop.debug_mode">debug_mode() (in module interpret.develop)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.decision_function">decision_function() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.decision_function">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
</ul></li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier">DPExplainableBoostingClassifier (class in interpret.privacy)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor">DPExplainableBoostingRegressor (class in interpret.privacy)</a>
</li>
</ul></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.eval_terms">eval_terms() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.eval_terms">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.eval_terms">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.eval_terms">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/ClassHistogram.html#interpret.data.ClassHistogram.explain_data">explain_data() (interpret.data.ClassHistogram method)</a>
<ul>
<li><a href="python/api/Marginal.html#interpret.data.Marginal.explain_data">(interpret.data.Marginal method)</a>
</li>
</ul></li>
<li><a href="python/api/MorrisSensitivity.html#interpret.blackbox.MorrisSensitivity.explain_global">explain_global() (interpret.blackbox.MorrisSensitivity method)</a>
<ul>
<li><a href="python/api/PartialDependence.html#interpret.blackbox.PartialDependence.explain_global">(interpret.blackbox.PartialDependence method)</a>
</li>
<li><a href="python/api/APLRClassifier.html#interpret.glassbox.APLRClassifier.explain_global">(interpret.glassbox.APLRClassifier method)</a>
</li>
<li><a href="python/api/APLRRegressor.html#interpret.glassbox.APLRRegressor.explain_global">(interpret.glassbox.APLRRegressor method)</a>
</li>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.explain_global">(interpret.glassbox.ClassificationTree method)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.explain_global">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.explain_global">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression.explain_global">(interpret.glassbox.LinearRegression method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.explain_global">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree.explain_global">(interpret.glassbox.RegressionTree method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.explain_global">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.explain_global">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/LimeTabular.html#interpret.blackbox.LimeTabular.explain_local">explain_local() (interpret.blackbox.LimeTabular method)</a>
<ul>
<li><a href="python/api/ShapKernel.html#interpret.blackbox.ShapKernel.explain_local">(interpret.blackbox.ShapKernel method)</a>
</li>
<li><a href="python/api/APLRClassifier.html#interpret.glassbox.APLRClassifier.explain_local">(interpret.glassbox.APLRClassifier method)</a>
</li>
<li><a href="python/api/APLRRegressor.html#interpret.glassbox.APLRRegressor.explain_local">(interpret.glassbox.APLRRegressor method)</a>
</li>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.explain_local">(interpret.glassbox.ClassificationTree method)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.explain_local">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.explain_local">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression.explain_local">(interpret.glassbox.LinearRegression method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.explain_local">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree.explain_local">(interpret.glassbox.RegressionTree method)</a>
</li>
<li><a href="python/api/ShapTree.html#interpret.greybox.ShapTree.explain_local">(interpret.greybox.ShapTree method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.explain_local">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.explain_local">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/PR.html#interpret.perf.PR.explain_perf">explain_perf() (interpret.perf.PR method)</a>
<ul>
<li><a href="python/api/RegressionPerf.html#interpret.perf.RegressionPerf.explain_perf">(interpret.perf.RegressionPerf method)</a>
</li>
<li><a href="python/api/ROC.html#interpret.perf.ROC.explain_perf">(interpret.perf.ROC method)</a>
</li>
</ul></li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier">ExplainableBoostingClassifier (class in interpret.glassbox)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor">ExplainableBoostingRegressor (class in interpret.glassbox)</a>
</li>
<li><a href="framework.html#interpret.api.base.ExplainerMixin">ExplainerMixin (class in interpret.api.base)</a>
</li>
<li><a href="framework.html#interpret.api.base.ExplanationMixin">ExplanationMixin (class in interpret.api.base)</a>
</li>
</ul></td>
</tr></table>
<h2 id="F">F</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.fit">fit() (interpret.glassbox.ClassificationTree method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.fit">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.fit">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression.fit">(interpret.glassbox.LinearRegression method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.fit">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree.fit">(interpret.glassbox.RegressionTree method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.fit">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.fit">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="framework.html#interpret.provider.DashProvider.from_address">from_address() (interpret.provider.DashProvider class method)</a>
</li>
</ul></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/get_show_addr.html#interpret.get_show_addr">get_show_addr() (in module interpret)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/get_visualize_provider.html#interpret.get_visualize_provider">get_visualize_provider() (in module interpret)</a>
</li>
</ul></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/init_show_server.html#interpret.init_show_server">init_show_server() (in module interpret)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="framework.html#interpret.provider.InlineProvider">InlineProvider (class in interpret.provider)</a>
</li>
<li><a href="python/api/inv_link.html#interpret.utils.inv_link">inv_link() (in module interpret.utils)</a>
</li>
</ul></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/LimeTabular.html#interpret.blackbox.LimeTabular">LimeTabular (class in interpret.blackbox)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression">LinearRegression (class in interpret.glassbox)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/link_func.html#interpret.utils.link_func">link_func() (in module interpret.utils)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression">LogisticRegression (class in interpret.glassbox)</a>
</li>
</ul></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/Marginal.html#interpret.data.Marginal">Marginal (class in interpret.data)</a>
</li>
<li><a href="python/api/measure_interactions.html#interpret.utils.measure_interactions">measure_interactions() (in module interpret.utils)</a>
</li>
<li><a href="python/api/merge_ebms.html#interpret.glassbox.merge_ebms">merge_ebms() (in module interpret.glassbox)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.monotonize">monotonize() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.monotonize">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.monotonize">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.monotonize">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/MorrisSensitivity.html#interpret.blackbox.MorrisSensitivity">MorrisSensitivity (class in interpret.blackbox)</a>
</li>
</ul></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/PartialDependence.html#interpret.blackbox.PartialDependence">PartialDependence (class in interpret.blackbox)</a>
</li>
<li><a href="python/api/PR.html#interpret.perf.PR">PR (class in interpret.perf)</a>
</li>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.predict">predict() (interpret.glassbox.ClassificationTree method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.predict">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.predict">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression.predict">(interpret.glassbox.LinearRegression method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.predict">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree.predict">(interpret.glassbox.RegressionTree method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.predict">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.predict">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.predict_proba">predict_proba() (interpret.glassbox.ClassificationTree method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.predict_proba">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.predict_proba">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.predict_proba">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
</ul></li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.predict_with_uncertainty">predict_with_uncertainty() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.predict_with_uncertainty">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.predict_with_uncertainty">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.predict_with_uncertainty">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/preserve.html#interpret.preserve">preserve() (in module interpret)</a>
</li>
<li><a href="python/api/purify.html#interpret.utils.purify">purify() (in module interpret.utils)</a>
</li>
</ul></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/RegressionPerf.html#interpret.perf.RegressionPerf">RegressionPerf (class in interpret.perf)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree">RegressionTree (class in interpret.glassbox)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.remove_features">remove_features() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.remove_features">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.remove_features">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.remove_features">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.remove_terms">remove_terms() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.remove_terms">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.remove_terms">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.remove_terms">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.reorder_classes">reorder_classes() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ROC.html#interpret.perf.ROC">ROC (class in interpret.perf)</a>
</li>
</ul></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.scale">scale() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.scale">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.scale">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.scale">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/APLRClassifier.html#interpret.glassbox.APLRClassifier.score">score() (interpret.glassbox.APLRClassifier method)</a>
<ul>
<li><a href="python/api/APLRRegressor.html#interpret.glassbox.APLRRegressor.score">(interpret.glassbox.APLRRegressor method)</a>
</li>
<li><a href="python/api/ClassificationTree.html#interpret.glassbox.ClassificationTree.score">(interpret.glassbox.ClassificationTree method)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.score">(interpret.glassbox.ExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.score">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/LinearRegression.html#interpret.glassbox.LinearRegression.score">(interpret.glassbox.LinearRegression method)</a>
</li>
<li><a href="python/api/LogisticRegression.html#interpret.glassbox.LogisticRegression.score">(interpret.glassbox.LogisticRegression method)</a>
</li>
<li><a href="python/api/RegressionTree.html#interpret.glassbox.RegressionTree.score">(interpret.glassbox.RegressionTree method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.score">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.score">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/set_show_addr.html#interpret.set_show_addr">set_show_addr() (in module interpret)</a>
</li>
<li><a href="python/api/set_visualize_provider.html#interpret.set_visualize_provider">set_visualize_provider() (in module interpret)</a>
</li>
<li><a href="python/api/ShapKernel.html#interpret.blackbox.ShapKernel">ShapKernel (class in interpret.blackbox)</a>
</li>
<li><a href="python/api/ShapTree.html#interpret.greybox.ShapTree">ShapTree (class in interpret.greybox)</a>
</li>
<li><a href="python/api/show.html#interpret.show">show() (in module interpret)</a>
</li>
<li><a href="python/api/show_link.html#interpret.show_link">show_link() (in module interpret)</a>
</li>
<li><a href="python/api/shutdown_show_server.html#interpret.shutdown_show_server">shutdown_show_server() (in module interpret)</a>
</li>
<li><a href="python/api/status_show_server.html#interpret.status_show_server">status_show_server() (in module interpret)</a>
</li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.sweep">sweep() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.sweep">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.sweep">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.sweep">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.term_importances">term_importances() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.term_importances">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.term_importances">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.term_importances">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.to_json">to_json() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.to_json">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.to_json">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.to_json">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="python/api/ExplainableBoostingClassifier.html#interpret.glassbox.ExplainableBoostingClassifier.to_jsonable">to_jsonable() (interpret.glassbox.ExplainableBoostingClassifier method)</a>
<ul>
<li><a href="python/api/ExplainableBoostingRegressor.html#interpret.glassbox.ExplainableBoostingRegressor.to_jsonable">(interpret.glassbox.ExplainableBoostingRegressor method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingClassifier.html#interpret.privacy.DPExplainableBoostingClassifier.to_jsonable">(interpret.privacy.DPExplainableBoostingClassifier method)</a>
</li>
<li><a href="python/api/DPExplainableBoostingRegressor.html#interpret.privacy.DPExplainableBoostingRegressor.to_jsonable">(interpret.privacy.DPExplainableBoostingRegressor method)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="V">V</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="framework.html#interpret.api.base.ExplanationMixin.visualize">visualize() (interpret.api.base.ExplanationMixin method)</a>
</li>
</ul></td>
</tr></table>
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