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| |
| <h1>Generalized Linear Models (R-compliant)</h1> |
| |
| <div class="d-none name"><code>glm.Rd</code></div> |
| </div> |
| |
| <div class="ref-description section level2"> |
| <p>Fits a generalized linear model, similarly to R's glm().</p> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S4 method for class 'formula,ANY,SparkDataFrame'</span></span> |
| <span><span class="fu">glm</span><span class="op">(</span></span> |
| <span> <span class="va">formula</span>,</span> |
| <span> family <span class="op">=</span> <span class="va">gaussian</span>,</span> |
| <span> <span class="va">data</span>,</span> |
| <span> epsilon <span class="op">=</span> <span class="fl">1e-06</span>,</span> |
| <span> maxit <span class="op">=</span> <span class="fl">25</span>,</span> |
| <span> weightCol <span class="op">=</span> <span class="cn">NULL</span>,</span> |
| <span> var.power <span class="op">=</span> <span class="fl">0</span>,</span> |
| <span> link.power <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">var.power</span>,</span> |
| <span> stringIndexerOrderType <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"frequencyDesc"</span>, <span class="st">"frequencyAsc"</span>, <span class="st">"alphabetDesc"</span>,</span> |
| <span> <span class="st">"alphabetAsc"</span><span class="op">)</span>,</span> |
| <span> offsetCol <span class="op">=</span> <span class="cn">NULL</span></span> |
| <span><span class="op">)</span></span></code></pre></div> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2> |
| |
| |
| <dl><dt id="arg-formula">formula<a class="anchor" aria-label="anchor" href="#arg-formula"></a></dt> |
| <dd><p>a symbolic description of the model to be fitted. Currently only a few formula |
| operators are supported, including '~', '.', ':', '+', and '-'.</p></dd> |
| |
| |
| <dt id="arg-family">family<a class="anchor" aria-label="anchor" href="#arg-family"></a></dt> |
| <dd><p>a description of the error distribution and link function to be used in the model. |
| This can be a character string naming a family function, a family function or |
| the result of a call to a family function. Refer R family at |
| <a href="https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html" class="external-link">https://stat.ethz.ch/R-manual/R-devel/library/stats/html/family.html</a>. |
| Currently these families are supported: <code>binomial</code>, <code>gaussian</code>, |
| <code>poisson</code>, <code>Gamma</code>, and <code>tweedie</code>.</p></dd> |
| |
| |
| <dt id="arg-data">data<a class="anchor" aria-label="anchor" href="#arg-data"></a></dt> |
| <dd><p>a SparkDataFrame or R's glm data for training.</p></dd> |
| |
| |
| <dt id="arg-epsilon">epsilon<a class="anchor" aria-label="anchor" href="#arg-epsilon"></a></dt> |
| <dd><p>positive convergence tolerance of iterations.</p></dd> |
| |
| |
| <dt id="arg-maxit">maxit<a class="anchor" aria-label="anchor" href="#arg-maxit"></a></dt> |
| <dd><p>integer giving the maximal number of IRLS iterations.</p></dd> |
| |
| |
| <dt id="arg-weightcol">weightCol<a class="anchor" aria-label="anchor" href="#arg-weightcol"></a></dt> |
| <dd><p>the weight column name. If this is not set or <code>NULL</code>, we treat all instance |
| weights as 1.0.</p></dd> |
| |
| |
| <dt id="arg-var-power">var.power<a class="anchor" aria-label="anchor" href="#arg-var-power"></a></dt> |
| <dd><p>the index of the power variance function in the Tweedie family.</p></dd> |
| |
| |
| <dt id="arg-link-power">link.power<a class="anchor" aria-label="anchor" href="#arg-link-power"></a></dt> |
| <dd><p>the index of the power link function in the Tweedie family.</p></dd> |
| |
| |
| <dt id="arg-stringindexerordertype">stringIndexerOrderType<a class="anchor" aria-label="anchor" href="#arg-stringindexerordertype"></a></dt> |
| <dd><p>how to order categories of a string feature column. This is used to |
| decide the base level of a string feature as the last category |
| after ordering is dropped when encoding strings. Supported options |
| are "frequencyDesc", "frequencyAsc", "alphabetDesc", and |
| "alphabetAsc". The default value is "frequencyDesc". When the |
| ordering is set to "alphabetDesc", this drops the same category |
| as R when encoding strings.</p></dd> |
| |
| |
| <dt id="arg-offsetcol">offsetCol<a class="anchor" aria-label="anchor" href="#arg-offsetcol"></a></dt> |
| <dd><p>the offset column name. If this is not set or empty, we treat all instance |
| offsets as 0.0. The feature specified as offset has a constant coefficient of |
| 1.0.</p></dd> |
| |
| </dl></div> |
| <div class="section level2"> |
| <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2> |
| <p><code>glm</code> returns a fitted generalized linear model.</p> |
| </div> |
| <div class="section level2"> |
| <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2> |
| <p>glm since 1.5.0</p> |
| </div> |
| <div class="section level2"> |
| <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2> |
| <div class="dont-index"><p><a href="spark.glm.html">spark.glm</a></p></div> |
| </div> |
| |
| <div class="section level2"> |
| <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2> |
| <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="sparkR.session.html">sparkR.session</a></span><span class="op">(</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">t</span> <span class="op"><-</span> <span class="fu"><a href="as.data.frame.html">as.data.frame</a></span><span class="op">(</span><span class="va">Titanic</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">df</span> <span class="op"><-</span> <span class="fu"><a href="createDataFrame.html">createDataFrame</a></span><span class="op">(</span><span class="va">t</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="va">model</span> <span class="op"><-</span> <span class="fu">glm</span><span class="op">(</span><span class="va">Freq</span> <span class="op">~</span> <span class="va">Sex</span> <span class="op">+</span> <span class="va">Age</span>, <span class="va">df</span>, family <span class="op">=</span> <span class="st">"gaussian"</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="fu"><a href="summary.html">summary</a></span><span class="op">(</span><span class="va">model</span><span class="op">)</span></span></span> |
| <span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span> |
| </code></pre></div> |
| </div> |
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