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<table width="100%" summary="page for summary {SparkR}"><tr><td>summary {SparkR}</td><td style="text-align: right;">R Documentation</td></tr></table>
<h2>Summary</h2>
<h3>Description</h3>
<p>Computes statistics for numeric columns of the DataFrame
</p>
<p>Returns the summary of a model produced by glm(), similarly to R's summary().
</p>
<h3>Usage</h3>
<pre>
## S4 method for signature 'DataFrame'
summary(x)
summary(x, ...)
## S4 method for signature 'PipelineModel'
summary(x, ...)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>x</code></td>
<td>
<p>A fitted MLlib model</p>
</td></tr>
</table>
<h3>Value</h3>
<p>a list with a 'coefficient' component, which is the matrix of coefficients. See
summary.glm for more information.
</p>
<h3>Examples</h3>
<pre><code class="r">## Not run:
##D model <- glm(y ~ x, trainingData)
##D summary(model)
## End(Not run)
</code></pre>
<hr /><div style="text-align: center;">[Package <em>SparkR</em> version 1.5.0 <a href="00Index.html">Index</a>]</div>
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