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<!DOCTYPE html>
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<a href="index.html" class="icon icon-home"> Snap Machine Learning
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1.3.0
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<p class="caption"><span class="caption-text">Overview</span></p>
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<li class="toctree-l1"><a class="reference internal" href="manual.html">Manual</a></li>
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<p class="caption"><span class="caption-text">pai4sk ML APIs</span></p>
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<li class="toctree-l1"><a class="reference internal" href="ridgedoc.html">linear_model.Ridge</a></li>
<li class="toctree-l1"><a class="reference internal" href="lassodoc.html">linear_model.Lasso</a></li>
<li class="toctree-l1"><a class="reference internal" href="sklogregdoc.html">linear_model.LogisticRegression</a></li>
<li class="toctree-l1"><a class="reference internal" href="svcdoc.html">svm.LinearSVC</a></li>
<li class="toctree-l1"><a class="reference internal" href="kmeansdoc.html">cluster.KMeans</a></li>
<li class="toctree-l1"><a class="reference internal" href="dbscandoc.html">cluster.DBSCAN</a></li>
<li class="toctree-l1"><a class="reference internal" href="pcadoc.html">decomposition.PCA</a></li>
<li class="toctree-l1"><a class="reference internal" href="svddoc.html">decomposition.TruncatedSVD</a></li>
</ul>
<p class="caption"><span class="caption-text">pai4sk Loaders APIs</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="sksvmloaderfiledoc.html">load_svmlight_file</a></li>
</ul>
<p class="caption"><span class="caption-text">pai4sk Metrics APIs</span></p>
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<li class="toctree-l1"><a class="reference internal" href="sklogdoc.html">log_loss</a></li>
<li class="toctree-l1"><a class="reference internal" href="skaccdoc.html">accuracy_score</a></li>
<li class="toctree-l1"><a class="reference internal" href="skhingedoc.html">hinge_loss</a></li>
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<p class="caption"><span class="caption-text">snapML APIs</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="linregapidoc.html">LinearRegression</a></li>
<li class="toctree-l1"><a class="reference internal" href="logregapidoc.html">LogisticRegression</a></li>
<li class="toctree-l1"><a class="reference internal" href="svmapidoc.html">SVM</a></li>
<li class="toctree-l1"><a class="reference internal" href="dectreeapidoc.html">DecisionTreeClassifier</a></li>
<li class="toctree-l1"><a class="reference internal" href="ranforapidoc.html">RandomForestClassifier</a></li>
<li class="toctree-l1"><a class="reference internal" href="logdoc.html">log_loss</a></li>
<li class="toctree-l1"><a class="reference internal" href="accdoc.html">accuracy_score</a></li>
<li class="toctree-l1"><a class="reference internal" href="hingedoc.html">hinge_loss</a></li>
<li class="toctree-l1"><a class="reference internal" href="msedoc.html">mean_squared_error</a></li>
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<p class="caption"><span class="caption-text">snapML Loaders APIs</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="svmloaderdoc.html">load_from_svmlight_format</a></li>
<li class="toctree-l1"><a class="reference internal" href="snaploaderdoc.html">load_from_snap_format</a></li>
<li class="toctree-l1"><a class="reference internal" href="snaploaderfiledoc.html">load_snap_file</a></li>
<li class="toctree-l1"><a class="reference internal" href="snapwritedoc.html">write_to_snap_format</a></li>
</ul>
<p class="caption"><span class="caption-text">snapML Spark APIs</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="splinregdoc.html">LinearRegression</a></li>
<li class="toctree-l1"><a class="reference internal" href="splogregdoc.html">LogisticRegression</a></li>
<li class="toctree-l1"><a class="reference internal" href="spsvmdoc.html">SupportVectorMachine</a></li>
<li class="toctree-l1"><a class="reference internal" href="spreaddoc.html">DatasetReader</a></li>
<li class="toctree-l1"><a class="reference internal" href="spmetdoc.html">Metrics</a></li>
<li class="toctree-l1"><a class="reference internal" href="sputildoc.html">Utils</a></li>
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<h1 id="index">Index</h1>
<div class="genindex-jumpbox">
<a href="#A"><strong>A</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#F"><strong>F</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#H"><strong>H</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#K"><strong>K</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="#W"><strong>W</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="pysparkapidocumentation.html#snap_ml_spark.Metrics.accuracy">accuracy() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.accuracy">[1]</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="skaccdoc.html#pai4sk.metrics.accuracy_score">accuracy_score() (in module pai4sk.metrics)</a>
<ul>
<li><a href="accdoc.html#pai4sk.sml_metrics.accuracy_score">(in module pai4sk.sml_metrics)</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="pysparkapidocumentation.html#snap_ml_spark.DatasetReader.DatasetReader">DatasetReader (class in snap_ml_spark.DatasetReader)</a>, <a href="spreaddoc.html#snap_ml_spark.DatasetReader.DatasetReader">[1]</a>
</li>
<li><a href="dbscandoc.html#pai4sk.cluster.DBSCAN">DBSCAN (class in pai4sk.cluster)</a>, <a href="pai4skapidocumentation.html#pai4sk.cluster.DBSCAN">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.SupportVectorMachine.decision_function">decision_function() (pai4sk.SupportVectorMachine method)</a>, <a href="svmapidoc.html#pai4sk.SupportVectorMachine.decision_function">[1]</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.svm.LinearSVC.decision_function">(pai4sk.svm.LinearSVC method)</a>, <a href="svcdoc.html#pai4sk.svm.LinearSVC.decision_function">[1]</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="dectreeapidoc.html#pai4sk.DecisionTreeClassifier">DecisionTreeClassifier (class in pai4sk)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Utils.dump_to_snap_format">dump_to_snap_format() (in module snap_ml_spark.Utils)</a>, <a href="sputildoc.html#snap_ml_spark.Utils.dump_to_snap_format">[1]</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="pysparkapidocumentation.html#snap_ml_spark.Metrics.f1score">f1score() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.f1score">[1]</a>
</li>
<li><a href="dbscandoc.html#pai4sk.cluster.DBSCAN.fit">fit() (pai4sk.cluster.DBSCAN method)</a>, <a href="pai4skapidocumentation.html#pai4sk.cluster.DBSCAN.fit">[1]</a>
<ul>
<li><a href="dectreeapidoc.html#pai4sk.DecisionTreeClassifier.fit">(pai4sk.DecisionTreeClassifier method)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier.fit">[1]</a>
</li>
<li><a href="linregapidoc.html#pai4sk.LinearRegression.fit">(pai4sk.LinearRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LinearRegression.fit">[1]</a>
</li>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression.fit">(pai4sk.LogisticRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression.fit">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.RandomForestClassifier.fit">(pai4sk.RandomForestClassifier method)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier.fit">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.SupportVectorMachine.fit">(pai4sk.SupportVectorMachine method)</a>, <a href="svmapidoc.html#pai4sk.SupportVectorMachine.fit">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans.fit">(pai4sk.cluster.KMeans method)</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.PCA.fit">(pai4sk.decomposition.PCA method)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA.fit">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.TruncatedSVD.fit">(pai4sk.decomposition.TruncatedSVD method)</a>, <a href="svddoc.html#pai4sk.decomposition.TruncatedSVD.fit">[1]</a>
</li>
<li><a href="lassodoc.html#pai4sk.linear_model.Lasso.fit">(pai4sk.linear_model.Lasso method)</a>, <a href="pai4skapidocumentation.html#pai4sk.linear_model.Lasso.fit">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.LogisticRegression.fit">(pai4sk.linear_model.LogisticRegression method)</a>, <a href="sklogregdoc.html#pai4sk.linear_model.LogisticRegression.fit">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.Ridge.fit">(pai4sk.linear_model.Ridge method)</a>, <a href="ridgedoc.html#pai4sk.linear_model.Ridge.fit">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.svm.LinearSVC.fit">(pai4sk.svm.LinearSVC method)</a>, <a href="svcdoc.html#pai4sk.svm.LinearSVC.fit">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LinearRegression.LinearRegression.fit">(snap_ml_spark.LinearRegression.LinearRegression method)</a>, <a href="splinregdoc.html#snap_ml_spark.LinearRegression.LinearRegression.fit">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LogisticRegression.LogisticRegression.fit">(snap_ml_spark.LogisticRegression.LogisticRegression method)</a>, <a href="splogregdoc.html#snap_ml_spark.LogisticRegression.LogisticRegression.fit">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.fit">(snap_ml_spark.SupportVectorMachine.SupportVectorMachine method)</a>, <a href="spsvmdoc.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.fit">[1]</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="dbscandoc.html#pai4sk.cluster.DBSCAN.fit_predict">fit_predict() (pai4sk.cluster.DBSCAN method)</a>, <a href="pai4skapidocumentation.html#pai4sk.cluster.DBSCAN.fit_predict">[1]</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans.fit_predict">(pai4sk.cluster.KMeans method)</a>
</li>
</ul></li>
<li><a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans.fit_transform">fit_transform() (pai4sk.cluster.KMeans method)</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.PCA.fit_transform">(pai4sk.decomposition.PCA method)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA.fit_transform">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.TruncatedSVD.fit_transform">(pai4sk.decomposition.TruncatedSVD method)</a>, <a href="svddoc.html#pai4sk.decomposition.TruncatedSVD.fit_transform">[1]</a>
</li>
</ul></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="dectreeapidoc.html#pai4sk.DecisionTreeClassifier.get_params">get_params() (pai4sk.DecisionTreeClassifier method)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier.get_params">[1]</a>
<ul>
<li><a href="linregapidoc.html#pai4sk.LinearRegression.get_params">(pai4sk.LinearRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LinearRegression.get_params">[1]</a>
</li>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression.get_params">(pai4sk.LogisticRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression.get_params">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.RandomForestClassifier.get_params">(pai4sk.RandomForestClassifier method)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier.get_params">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.SupportVectorMachine.get_params">(pai4sk.SupportVectorMachine method)</a>, <a href="svmapidoc.html#pai4sk.SupportVectorMachine.get_params">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LinearRegression.LinearRegression.get_params">(snap_ml_spark.LinearRegression.LinearRegression method)</a>, <a href="splinregdoc.html#snap_ml_spark.LinearRegression.LinearRegression.get_params">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LogisticRegression.LogisticRegression.get_params">(snap_ml_spark.LogisticRegression.LogisticRegression method)</a>, <a href="splogregdoc.html#snap_ml_spark.LogisticRegression.LogisticRegression.get_params">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.get_params">(snap_ml_spark.SupportVectorMachine.SupportVectorMachine method)</a>, <a href="spsvmdoc.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.get_params">[1]</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="H">H</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="skhingedoc.html#pai4sk.metrics.hinge_loss">hinge_loss() (in module pai4sk.metrics)</a>
<ul>
<li><a href="hingedoc.html#pai4sk.sml_metrics.hinge_loss">(in module pai4sk.sml_metrics)</a>
</li>
</ul></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="pai4skapidocumentation.html#pai4sk.decomposition.PCA.inverse_transform">inverse_transform() (pai4sk.decomposition.PCA method)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA.inverse_transform">[1]</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.TruncatedSVD.inverse_transform">(pai4sk.decomposition.TruncatedSVD method)</a>, <a href="svddoc.html#pai4sk.decomposition.TruncatedSVD.inverse_transform">[1]</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="K">K</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="kmeansdoc.html#pai4sk.cluster.KMeans">KMeans (class in pai4sk.cluster)</a>, <a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans">[1]</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="lassodoc.html#pai4sk.linear_model.Lasso">Lasso (class in pai4sk.linear_model)</a>, <a href="pai4skapidocumentation.html#pai4sk.linear_model.Lasso">[1]</a>
</li>
<li><a href="linregapidoc.html#pai4sk.LinearRegression">LinearRegression (class in pai4sk)</a>, <a href="pythonapidocumentation.html#pai4sk.LinearRegression">[1]</a>
<ul>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LinearRegression.LinearRegression">(class in snap_ml_spark.LinearRegression)</a>, <a href="splinregdoc.html#snap_ml_spark.LinearRegression.LinearRegression">[1]</a>
</li>
</ul></li>
<li><a href="pai4skapidocumentation.html#pai4sk.svm.LinearSVC">LinearSVC (class in pai4sk.svm)</a>, <a href="svcdoc.html#pai4sk.svm.LinearSVC">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.DatasetReader.DatasetReader.load">load() (snap_ml_spark.DatasetReader.DatasetReader method)</a>, <a href="spreaddoc.html#snap_ml_spark.DatasetReader.DatasetReader.load">[1]</a>
</li>
<li><a href="snaploaderdoc.html#pai4sk.sml_io.load_from_snap_format">load_from_snap_format() (in module pai4sk.sml_io)</a>
</li>
<li><a href="svmloaderdoc.html#pai4sk.sml_io.load_from_svmlight_format">load_from_svmlight_format() (in module pai4sk.sml_io)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="snaploaderfiledoc.html#pai4sk.sml_io.load_snap_file">load_snap_file() (in module pai4sk.sml_io)</a>
</li>
<li><a href="sksvmloaderfiledoc.html#pai4sk.datasets.load_svmlight_file">load_svmlight_file() (in module pai4sk.datasets)</a>
</li>
<li><a href="sklogdoc.html#pai4sk.metrics.log_loss">log_loss() (in module pai4sk.metrics)</a>
<ul>
<li><a href="logdoc.html#pai4sk.sml_metrics.log_loss">(in module pai4sk.sml_metrics)</a>
</li>
</ul></li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Metrics.logisticLoss">logisticLoss() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.logisticLoss">[1]</a>
</li>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression">LogisticRegression (class in pai4sk)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression">[1]</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.LogisticRegression">(class in pai4sk.linear_model)</a>, <a href="sklogregdoc.html#pai4sk.linear_model.LogisticRegression">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LogisticRegression.LogisticRegression">(class in snap_ml_spark.LogisticRegression)</a>, <a href="splogregdoc.html#snap_ml_spark.LogisticRegression.LogisticRegression">[1]</a>
</li>
</ul></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="skmsedoc.html#pai4sk.metrics.mean_squared_error">mean_squared_error() (in module pai4sk.metrics)</a>
<ul>
<li><a href="msedoc.html#pai4sk.sml_metrics.mean_squared_error">(in module pai4sk.sml_metrics)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Metrics.meanSquaredError">meanSquaredError() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.meanSquaredError">[1]</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="pai4skapidocumentation.html#pai4sk.decomposition.PCA">PCA (class in pai4sk.decomposition)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Metrics.precision">precision() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.precision">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans.predict">predict() (pai4sk.cluster.KMeans method)</a>
<ul>
<li><a href="dectreeapidoc.html#pai4sk.DecisionTreeClassifier.predict">(pai4sk.DecisionTreeClassifier method)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier.predict">[1]</a>
</li>
<li><a href="linregapidoc.html#pai4sk.LinearRegression.predict">(pai4sk.LinearRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LinearRegression.predict">[1]</a>
</li>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression.predict">(pai4sk.LogisticRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression.predict">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.RandomForestClassifier.predict">(pai4sk.RandomForestClassifier method)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier.predict">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.SupportVectorMachine.predict">(pai4sk.SupportVectorMachine method)</a>, <a href="svmapidoc.html#pai4sk.SupportVectorMachine.predict">[1]</a>
</li>
<li><a href="lassodoc.html#pai4sk.linear_model.Lasso.predict">(pai4sk.linear_model.Lasso method)</a>, <a href="pai4skapidocumentation.html#pai4sk.linear_model.Lasso.predict">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.LogisticRegression.predict">(pai4sk.linear_model.LogisticRegression method)</a>, <a href="sklogregdoc.html#pai4sk.linear_model.LogisticRegression.predict">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.Ridge.predict">(pai4sk.linear_model.Ridge method)</a>, <a href="ridgedoc.html#pai4sk.linear_model.Ridge.predict">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.svm.LinearSVC.predict">(pai4sk.svm.LinearSVC method)</a>, <a href="svcdoc.html#pai4sk.svm.LinearSVC.predict">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LinearRegression.LinearRegression.predict">(snap_ml_spark.LinearRegression.LinearRegression method)</a>, <a href="splinregdoc.html#snap_ml_spark.LinearRegression.LinearRegression.predict">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LogisticRegression.LogisticRegression.predict">(snap_ml_spark.LogisticRegression.LogisticRegression method)</a>, <a href="splogregdoc.html#snap_ml_spark.LogisticRegression.LogisticRegression.predict">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.predict">(snap_ml_spark.SupportVectorMachine.SupportVectorMachine method)</a>, <a href="spsvmdoc.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine.predict">[1]</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="dectreeapidoc.html#pai4sk.DecisionTreeClassifier.predict_log_proba">predict_log_proba() (pai4sk.DecisionTreeClassifier method)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier.predict_log_proba">[1]</a>
<ul>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression.predict_log_proba">(pai4sk.LogisticRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression.predict_log_proba">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.RandomForestClassifier.predict_log_proba">(pai4sk.RandomForestClassifier method)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier.predict_log_proba">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.LogisticRegression.predict_log_proba">(pai4sk.linear_model.LogisticRegression method)</a>, <a href="sklogregdoc.html#pai4sk.linear_model.LogisticRegression.predict_log_proba">[1]</a>
</li>
</ul></li>
<li><a href="dectreeapidoc.html#pai4sk.DecisionTreeClassifier.predict_proba">predict_proba() (pai4sk.DecisionTreeClassifier method)</a>, <a href="pythonapidocumentation.html#pai4sk.DecisionTreeClassifier.predict_proba">[1]</a>
<ul>
<li><a href="logregapidoc.html#pai4sk.LogisticRegression.predict_proba">(pai4sk.LogisticRegression method)</a>, <a href="pythonapidocumentation.html#pai4sk.LogisticRegression.predict_proba">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.RandomForestClassifier.predict_proba">(pai4sk.RandomForestClassifier method)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier.predict_proba">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.LogisticRegression.predict_proba">(pai4sk.linear_model.LogisticRegression method)</a>, <a href="sklogregdoc.html#pai4sk.linear_model.LogisticRegression.predict_proba">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.LogisticRegression.LogisticRegression.predict_proba">(snap_ml_spark.LogisticRegression.LogisticRegression method)</a>, <a href="splogregdoc.html#snap_ml_spark.LogisticRegression.LogisticRegression.predict_proba">[1]</a>
</li>
</ul></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="pythonapidocumentation.html#pai4sk.RandomForestClassifier">RandomForestClassifier (class in pai4sk)</a>, <a href="ranforapidoc.html#pai4sk.RandomForestClassifier">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Utils.read_from_snap_format">read_from_snap_format() (in module snap_ml_spark.Utils)</a>, <a href="sputildoc.html#snap_ml_spark.Utils.read_from_snap_format">[1]</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.Metrics.recall">recall() (in module snap_ml_spark.Metrics)</a>, <a href="spmetdoc.html#snap_ml_spark.Metrics.recall">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.linear_model.Ridge">Ridge (class in pai4sk.linear_model)</a>, <a href="ridgedoc.html#pai4sk.linear_model.Ridge">[1]</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="pai4skapidocumentation.html#pai4sk.decomposition.PCA.score">score() (pai4sk.decomposition.PCA method)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA.score">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.DatasetReader.DatasetReader.setFormat">setFormat() (snap_ml_spark.DatasetReader.DatasetReader method)</a>, <a href="spreaddoc.html#snap_ml_spark.DatasetReader.DatasetReader.setFormat">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.DatasetReader.DatasetReader.setNumFt">setNumFt() (snap_ml_spark.DatasetReader.DatasetReader method)</a>, <a href="spreaddoc.html#snap_ml_spark.DatasetReader.DatasetReader.setNumFt">[1]</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="pysparkapidocumentation.html#module-snap_ml_spark.Metrics">snap_ml_spark.Metrics (module)</a>, <a href="spmetdoc.html#module-snap_ml_spark.Metrics">[1]</a>
</li>
<li><a href="pysparkapidocumentation.html#module-snap_ml_spark.Utils">snap_ml_spark.Utils (module)</a>, <a href="sputildoc.html#module-snap_ml_spark.Utils">[1]</a>
</li>
<li><a href="pythonapidocumentation.html#pai4sk.SupportVectorMachine">SupportVectorMachine (class in pai4sk)</a>, <a href="svmapidoc.html#pai4sk.SupportVectorMachine">[1]</a>
<ul>
<li><a href="pysparkapidocumentation.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine">(class in snap_ml_spark.SupportVectorMachine)</a>, <a href="spsvmdoc.html#snap_ml_spark.SupportVectorMachine.SupportVectorMachine">[1]</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="pysparkapidocumentation.html#snap_ml_spark.DatasetReader.DatasetReader.takeRange">takeRange() (snap_ml_spark.DatasetReader.DatasetReader method)</a>, <a href="spreaddoc.html#snap_ml_spark.DatasetReader.DatasetReader.takeRange">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.cluster.KMeans.transform">transform() (pai4sk.cluster.KMeans method)</a>
<ul>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.PCA.transform">(pai4sk.decomposition.PCA method)</a>, <a href="pcadoc.html#pai4sk.decomposition.PCA.transform">[1]</a>
</li>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.TruncatedSVD.transform">(pai4sk.decomposition.TruncatedSVD method)</a>, <a href="svddoc.html#pai4sk.decomposition.TruncatedSVD.transform">[1]</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="pai4skapidocumentation.html#pai4sk.decomposition.TruncatedSVD">TruncatedSVD (class in pai4sk.decomposition)</a>, <a href="svddoc.html#pai4sk.decomposition.TruncatedSVD">[1]</a>
</li>
</ul></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="snapwritedoc.html#pai4sk.sml_io.write_to_snap_format">write_to_snap_format() (in module pai4sk.sml_io)</a>
</li>
</ul></td>
</tr></table>
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