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| <div class="section" id="linearregressionsummary"> |
| <h1>LinearRegressionSummary<a class="headerlink" href="#linearregressionsummary" title="Permalink to this headline">¶</a></h1> |
| <dl class="py class"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary"> |
| <em class="property">class </em><code class="sig-prename descclassname">pyspark.ml.regression.</code><code class="sig-name descname">LinearRegressionSummary</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#LinearRegressionSummary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Linear regression results evaluated on a dataset.</p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.0.0.</span></p> |
| </div> |
| <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.LinearRegressionSummary.coefficientStandardErrors" title="pyspark.ml.regression.LinearRegressionSummary.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-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.degreesOfFreedom" title="pyspark.ml.regression.LinearRegressionSummary.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.devianceResiduals" title="pyspark.ml.regression.LinearRegressionSummary.devianceResiduals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">devianceResiduals</span></code></a></p></td> |
| <td><p>The weighted residuals, the usual residuals rescaled by the square root of the instance weights.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.explainedVariance" title="pyspark.ml.regression.LinearRegressionSummary.explainedVariance"><code class="xref py py-obj docutils literal notranslate"><span class="pre">explainedVariance</span></code></a></p></td> |
| <td><p>Returns the explained variance regression score.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.featuresCol" title="pyspark.ml.regression.LinearRegressionSummary.featuresCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">featuresCol</span></code></a></p></td> |
| <td><p>Field in “predictions” which gives the features of each instance as a vector.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.labelCol" title="pyspark.ml.regression.LinearRegressionSummary.labelCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">labelCol</span></code></a></p></td> |
| <td><p>Field in “predictions” which gives the true label of each instance.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.meanAbsoluteError" title="pyspark.ml.regression.LinearRegressionSummary.meanAbsoluteError"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meanAbsoluteError</span></code></a></p></td> |
| <td><p>Returns the mean absolute error, which is a risk function corresponding to the expected value of the absolute error loss or l1-norm loss.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.meanSquaredError" title="pyspark.ml.regression.LinearRegressionSummary.meanSquaredError"><code class="xref py py-obj docutils literal notranslate"><span class="pre">meanSquaredError</span></code></a></p></td> |
| <td><p>Returns the mean squared error, which is a risk function corresponding to the expected value of the squared error loss or quadratic loss.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.numInstances" title="pyspark.ml.regression.LinearRegressionSummary.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.LinearRegressionSummary.pValues" title="pyspark.ml.regression.LinearRegressionSummary.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-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.predictionCol" title="pyspark.ml.regression.LinearRegressionSummary.predictionCol"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictionCol</span></code></a></p></td> |
| <td><p>Field in “predictions” which gives the predicted value of the label at each instance.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.predictions" title="pyspark.ml.regression.LinearRegressionSummary.predictions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictions</span></code></a></p></td> |
| <td><p>Dataframe outputted by the model’s <cite>transform</cite> method.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.r2" title="pyspark.ml.regression.LinearRegressionSummary.r2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2</span></code></a></p></td> |
| <td><p>Returns R^2, the coefficient of determination.</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.r2adj" title="pyspark.ml.regression.LinearRegressionSummary.r2adj"><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2adj</span></code></a></p></td> |
| <td><p>Returns Adjusted R^2, the adjusted coefficient of determination.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.residuals" title="pyspark.ml.regression.LinearRegressionSummary.residuals"><code class="xref py py-obj docutils literal notranslate"><span class="pre">residuals</span></code></a></p></td> |
| <td><p>Residuals (label - predicted value)</p></td> |
| </tr> |
| <tr class="row-even"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.rootMeanSquaredError" title="pyspark.ml.regression.LinearRegressionSummary.rootMeanSquaredError"><code class="xref py py-obj docutils literal notranslate"><span class="pre">rootMeanSquaredError</span></code></a></p></td> |
| <td><p>Returns the root mean squared error, which is defined as the square root of the mean squared error.</p></td> |
| </tr> |
| <tr class="row-odd"><td><p><a class="reference internal" href="#pyspark.ml.regression.LinearRegressionSummary.tValues" title="pyspark.ml.regression.LinearRegressionSummary.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">Attributes Documentation</p> |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.coefficientStandardErrors"> |
| <code class="sig-name descname">coefficientStandardErrors</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.coefficientStandardErrors" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Standard error of estimated coefficients and intercept. |
| This value is only available when using the “normal” solver.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.fitIntercept" title="pyspark.ml.regression.LinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LinearRegression.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> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <dl class="simple"> |
| <dt><a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.solver" title="pyspark.ml.regression.LinearRegression.solver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearRegression.solver</span></code></a></dt><dd></dd> |
| </dl> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.degreesOfFreedom"> |
| <code class="sig-name descname">degreesOfFreedom</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.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 2.2.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.devianceResiduals"> |
| <code class="sig-name descname">devianceResiduals</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.devianceResiduals" title="Permalink to this definition">¶</a></dt> |
| <dd><p>The weighted residuals, the usual residuals rescaled by the |
| square root of the instance weights.</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.LinearRegressionSummary.explainedVariance"> |
| <code class="sig-name descname">explainedVariance</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.explainedVariance" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns the explained variance regression score. |
| explainedVariance = <span class="math notranslate nohighlight">\(1 - \frac{variance(y - \hat{y})}{variance(y)}\)</span></p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark |
| versions.</p> |
| <p>For additional information see |
| <a class="reference external" href="http://en.wikipedia.org/wiki/Explained_variation">Explained variation on Wikipedia </a></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.LinearRegressionSummary.featuresCol"> |
| <code class="sig-name descname">featuresCol</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.featuresCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Field in “predictions” which gives the features of each instance |
| as a vector.</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.LinearRegressionSummary.labelCol"> |
| <code class="sig-name descname">labelCol</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.labelCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Field in “predictions” which gives the true label of each |
| instance.</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.LinearRegressionSummary.meanAbsoluteError"> |
| <code class="sig-name descname">meanAbsoluteError</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.meanAbsoluteError" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns the mean absolute error, which is a risk function |
| corresponding to the expected value of the absolute error |
| loss or l1-norm loss.</p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark |
| versions.</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.LinearRegressionSummary.meanSquaredError"> |
| <code class="sig-name descname">meanSquaredError</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.meanSquaredError" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns the mean squared error, which is a risk function |
| corresponding to the expected value of the squared error |
| loss or quadratic loss.</p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark |
| versions.</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.LinearRegressionSummary.numInstances"> |
| <code class="sig-name descname">numInstances</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.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 2.0.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.pValues"> |
| <code class="sig-name descname">pValues</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.pValues" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Two-sided p-value of estimated coefficients and intercept. |
| This value is only available when using the “normal” solver.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.fitIntercept" title="pyspark.ml.regression.LinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LinearRegression.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> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <dl class="simple"> |
| <dt><a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.solver" title="pyspark.ml.regression.LinearRegression.solver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearRegression.solver</span></code></a></dt><dd></dd> |
| </dl> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.predictionCol"> |
| <code class="sig-name descname">predictionCol</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.predictionCol" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Field in “predictions” which gives the predicted value of |
| the label at each instance.</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.LinearRegressionSummary.predictions"> |
| <code class="sig-name descname">predictions</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.predictions" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Dataframe outputted 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.LinearRegressionSummary.r2"> |
| <code class="sig-name descname">r2</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.r2" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns R^2, the coefficient of determination.</p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark |
| versions.</p> |
| <p>See also <a class="reference external" href="http://en.wikipedia.org/wiki/Coefficient_of_determination">Wikipedia coefficient of determination</a></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.LinearRegressionSummary.r2adj"> |
| <code class="sig-name descname">r2adj</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.r2adj" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns Adjusted R^2, the adjusted coefficient of determination.</p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark versions.</p> |
| <p><a class="reference external" href="https://en.wikipedia.org/wiki/Coefficient_of_determination#Adjusted_R2">Wikipedia coefficient of determination, Adjusted R^2</a></p> |
| <div class="versionadded"> |
| <p><span class="versionmodified added">New in version 2.4.0.</span></p> |
| </div> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt id="pyspark.ml.regression.LinearRegressionSummary.residuals"> |
| <code class="sig-name descname">residuals</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.residuals" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Residuals (label - predicted value)</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.LinearRegressionSummary.rootMeanSquaredError"> |
| <code class="sig-name descname">rootMeanSquaredError</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.rootMeanSquaredError" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Returns the root mean squared error, which is defined as the |
| square root of the mean squared error.</p> |
| <p class="rubric">Notes</p> |
| <p>This ignores instance weights (setting all to 1.0) from |
| <cite>LinearRegression.weightCol</cite>. This will change in later Spark |
| versions.</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.LinearRegressionSummary.tValues"> |
| <code class="sig-name descname">tValues</code><a class="headerlink" href="#pyspark.ml.regression.LinearRegressionSummary.tValues" title="Permalink to this definition">¶</a></dt> |
| <dd><p>T-statistic of estimated coefficients and intercept. |
| This value is only available when using the “normal” solver.</p> |
| <p>If <a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.fitIntercept" title="pyspark.ml.regression.LinearRegression.fitIntercept"><code class="xref py py-attr docutils literal notranslate"><span class="pre">LinearRegression.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> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <dl class="simple"> |
| <dt><a class="reference internal" href="pyspark.ml.regression.LinearRegression.html#pyspark.ml.regression.LinearRegression.solver" title="pyspark.ml.regression.LinearRegression.solver"><code class="xref py py-obj docutils literal notranslate"><span class="pre">LinearRegression.solver</span></code></a></dt><dd></dd> |
| </dl> |
| </div> |
| </dd></dl> |
| |
| </dd></dl> |
| |
| </div> |
| |
| |
| </div> |
| |
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