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<h2 title="Class FPGrowth" class="title">Class FPGrowth</h2>
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<pre>public class <span class="strong">FPGrowth</span>
extends java.lang.Object
implements <a href="../../../../../org/apache/spark/Logging.html" title="interface in org.apache.spark">Logging</a>, scala.Serializable</pre>
<div class="block">:: Experimental ::
<p>
A parallel FP-growth algorithm to mine frequent itemsets. The algorithm is described in
<code>Li et al., PFP: Parallel FP-Growth for Query
Recommendation</code>. PFP distributes computation in such a way that each worker executes an
independent group of mining tasks. The FP-Growth algorithm is described in
<code>Han et al., Mining frequent patterns without candidate
generation</code>.
<p>
param: minSupport the minimal support level of the frequent pattern, any pattern appears
more than (minSupport * size-of-the-dataset) times will be output
param: numPartitions number of partitions used by parallel FP-growth
<p></div>
<dl><dt><span class="strong">See Also:</span></dt><dd><code>http://en.wikipedia.org/wiki/Association_rule_learning Association rule learning
(Wikipedia)}
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<a href="../../../../../serialized-form.html#org.apache.spark.mllib.fpm.FPGrowth">Serialized Form</a></dd></dl>
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<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.FreqItemset.html" title="class in org.apache.spark.mllib.fpm">FPGrowth.FreqItemset</a><<a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.FreqItemset.html" title="type parameter in FPGrowth.FreqItemset">Item</a>></strong></code>
<div class="block">Frequent itemset.</div>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.html#FPGrowth()">FPGrowth</a></strong>()</code>
<div class="block">Constructs a default instance with default parameters {minSupport: <code>0.3</code>, numPartitions: same
as the input data}.</div>
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scala.reflect.ClassTag<Item> evidence$2)</code>
<div class="block">Computes an FP-Growth model that contains frequent itemsets.</div>
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<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.html#setNumPartitions(int)">setNumPartitions</a></strong>(int numPartitions)</code>
<div class="block">Sets the number of partitions used by parallel FP-growth (default: same as input data).</div>
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<pre>public FPGrowth()</pre>
<div class="block">Constructs a default instance with default parameters {minSupport: <code>0.3</code>, numPartitions: same
as the input data}.
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<pre>public <a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.html" title="class in org.apache.spark.mllib.fpm">FPGrowth</a> setMinSupport(double minSupport)</pre>
<div class="block">Sets the minimal support level (default: <code>0.3</code>).
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>minSupport</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<pre>public <a href="../../../../../org/apache/spark/mllib/fpm/FPGrowth.html" title="class in org.apache.spark.mllib.fpm">FPGrowth</a> setNumPartitions(int numPartitions)</pre>
<div class="block">Sets the number of partitions used by parallel FP-growth (default: same as input data).
<p></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>numPartitions</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>run</h4>
<pre>public <Item> <a href="../../../../../org/apache/spark/mllib/fpm/FPGrowthModel.html" title="class in org.apache.spark.mllib.fpm">FPGrowthModel</a><Item> run(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><java.lang.Object> data,
scala.reflect.ClassTag<Item> evidence$2)</pre>
<div class="block">Computes an FP-Growth model that contains frequent itemsets.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>data</code> - input data set, each element contains a transaction</dd><dd><code>evidence$2</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>an <a href="../../../../../org/apache/spark/mllib/fpm/FPGrowthModel.html" title="class in org.apache.spark.mllib.fpm"><code>FPGrowthModel</code></a>
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<pre>public <Item,Basket extends java.lang.Iterable<Item>> <a href="../../../../../org/apache/spark/mllib/fpm/FPGrowthModel.html" title="class in org.apache.spark.mllib.fpm">FPGrowthModel</a><Item> run(<a href="../../../../../org/apache/spark/api/java/JavaRDD.html" title="class in org.apache.spark.api.java">JavaRDD</a><Basket> data)</pre>
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