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| <div class="section" id="generalizedlinearregressiontrainingsummary"> |
| <h1>GeneralizedLinearRegressionTrainingSummary<a class="headerlink" href="#generalizedlinearregressiontrainingsummary" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.regression.</code><code class="sig-name descname">GeneralizedLinearRegressionTrainingSummary</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">java_obj</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>JavaObject<span class="p">]</span></span> <span class="o">=</span> <span class="default_value">None</span></em><span class="sig-paren">)</span><a class="reference internal" href="../../_modules/pyspark/ml/regression.html#GeneralizedLinearRegressionTrainingSummary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Generalized linear regression training results.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| <p class="rubric">Methods</p> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residuals" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residuals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">residuals</span></code></a>([residualsType])</p></td> |
| <td><p>Get the residuals of the fitted model by type.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Attributes</p> |
| <table class="longtable table autosummary"> |
| <colgroup> |
| <col style="width: 10%" /> |
| <col style="width: 90%" /> |
| </colgroup> |
| <tbody> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.aic" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.aic"><code class="xref py py-obj docutils literal notranslate"><span class="pre">aic</span></code></a></p></td> |
| <td><p>Akaike’s “An Information Criterion”(AIC) for the fitted model.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.coefficientStandardErrors" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.coefficientStandardErrors"><code class="xref py py-obj docutils literal notranslate"><span class="pre">coefficientStandardErrors</span></code></a></p></td> |
| <td><p>Standard error of estimated coefficients and intercept.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.degreesOfFreedom" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.degreesOfFreedom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">degreesOfFreedom</span></code></a></p></td> |
| <td><p>Degrees of freedom.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.deviance" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.deviance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">deviance</span></code></a></p></td> |
| <td><p>The deviance for the fitted model.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.dispersion" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.dispersion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dispersion</span></code></a></p></td> |
| <td><p>The dispersion of the fitted model.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.nullDeviance" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.nullDeviance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">nullDeviance</span></code></a></p></td> |
| <td><p>The deviance for the null model.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numInstances" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numInstances"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numInstances</span></code></a></p></td> |
| <td><p>Number of instances in DataFrame predictions.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numIterations" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numIterations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">numIterations</span></code></a></p></td> |
| <td><p>Number of training iterations.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.pValues" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.pValues"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pValues</span></code></a></p></td> |
| <td><p>Two-sided p-value of estimated coefficients and intercept.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictionCol" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictionCol</span></code></a></p></td> |
| <td><p>Field in <a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions"><code class="xref py py-attr docutils literal notranslate"><span class="pre">predictions</span></code></a> which gives the predicted value of each instance.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictions</span></code></a></p></td> |
| <td><p>Predictions output by the model’s <cite>transform</cite> method.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.rank" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.rank"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rank</span></code></a></p></td> |
| <td><p>The numeric rank of the fitted linear model.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedom" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedom"><code class="xref py py-obj docutils literal notranslate"><span class="pre">residualDegreeOfFreedom</span></code></a></p></td> |
| <td><p>The residual degrees of freedom.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedomNull" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedomNull"><code class="xref py py-obj docutils literal notranslate"><span class="pre">residualDegreeOfFreedomNull</span></code></a></p></td> |
| <td><p>The residual degrees of freedom for the null model.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.solver" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.solver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">solver</span></code></a></p></td> |
| <td><p>The numeric solver used for training.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.tValues" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.tValues"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tValues</span></code></a></p></td> |
| <td><p>T-statistic of estimated coefficients and intercept.</p></td> |
| </tr> |
| </tbody> |
| </table> |
| <p class="rubric">Methods Documentation</p> |
| <dl class="py method"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residuals"> |
| <code class="sig-name descname">residuals</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">residualsType</span><span class="p">:</span> <span class="n">str</span> <span class="o">=</span> <span class="default_value">'deviance'</span></em><span class="sig-paren">)</span> → pyspark.sql.dataframe.DataFrame<a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residuals" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Get the residuals of the fitted model by type.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>residualsType</strong><span class="classifier">str, optional</span></dt><dd><p>The type of residuals which should be returned. |
| Supported options: deviance (default), pearson, working, and response.</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <p class="rubric">Attributes Documentation</p> |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.aic"> |
| <code class="sig-name descname">aic</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.aic" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Akaike’s “An Information Criterion”(AIC) for the fitted model.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.coefficientStandardErrors"> |
| <code class="sig-name descname">coefficientStandardErrors</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.coefficientStandardErrors" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Standard error of estimated coefficients and intercept.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.GeneralizedLinearRegression.html#pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept" title="pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">GeneralizedLinearRegression.fitIntercept</span></code></a> is set to True, |
| then the last element returned corresponds to the intercept.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.degreesOfFreedom"> |
| <code class="sig-name descname">degreesOfFreedom</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.degreesOfFreedom" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Degrees of freedom.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.deviance"> |
| <code class="sig-name descname">deviance</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.deviance" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The deviance for the fitted model.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.dispersion"> |
| <code class="sig-name descname">dispersion</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.dispersion" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The dispersion of the fitted model. |
| It is taken as 1.0 for the “binomial” and “poisson” families, and otherwise |
| estimated by the residual Pearson’s Chi-Squared statistic (which is defined as |
| sum of the squares of the Pearson residuals) divided by the residual degrees of freedom.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.nullDeviance"> |
| <code class="sig-name descname">nullDeviance</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.nullDeviance" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The deviance for the null model.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numInstances"> |
| <code class="sig-name descname">numInstances</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numInstances" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Number of instances in DataFrame predictions.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.2.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numIterations"> |
| <code class="sig-name descname">numIterations</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.numIterations" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Number of training iterations.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.pValues"> |
| <code class="sig-name descname">pValues</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.pValues" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Two-sided p-value of estimated coefficients and intercept.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.GeneralizedLinearRegression.html#pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept" title="pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">GeneralizedLinearRegression.fitIntercept</span></code></a> is set to True, |
| then the last element returned corresponds to the intercept.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictionCol"> |
| <code class="sig-name descname">predictionCol</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Field in <a class="reference internal" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions" title="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions"><code class="xref py py-attr docutils literal notranslate"><span class="pre">predictions</span></code></a> which gives the predicted value of each instance. |
| This is set to a new column name if the original model’s <cite>predictionCol</cite> is not set.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions"> |
| <code class="sig-name descname">predictions</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.predictions" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Predictions output by the model’s <cite>transform</cite> method.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.rank"> |
| <code class="sig-name descname">rank</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.rank" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The numeric rank of the fitted linear model.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedom"> |
| <code class="sig-name descname">residualDegreeOfFreedom</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedom" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The residual degrees of freedom.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedomNull"> |
| <code class="sig-name descname">residualDegreeOfFreedomNull</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.residualDegreeOfFreedomNull" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The residual degrees of freedom for the null model.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.solver"> |
| <code class="sig-name descname">solver</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.solver" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The numeric solver used for training.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.tValues"> |
| <code class="sig-name descname">tValues</code><a class="headerlink" href="#pyspark.ml.regression.GeneralizedLinearRegressionTrainingSummary.tValues" title="Permalink to this definition">¶</a></dt> |
| <dd><p>T-statistic of estimated coefficients and intercept.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.GeneralizedLinearRegression.html#pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept" title="pyspark.ml.regression.GeneralizedLinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">GeneralizedLinearRegression.fitIntercept</span></code></a> is set to True, |
| then the last element returned corresponds to the intercept.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| </dd></dl> |
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