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+<div class="subTitle">org.apache.spark.api.java</div>
+<h2 title="Class JavaDoubleRDD" class="title">Class JavaDoubleRDD</h2>
+</div>
+<div class="contentContainer">
+<ul class="inheritance">
+<li>Object</li>
+<li>
+<ul class="inheritance">
+<li>org.apache.spark.api.java.JavaDoubleRDD</li>
+</ul>
+</li>
+</ul>
+<div class="description">
+<ul class="blockList">
+<li class="blockList">
+<dl>
+<dt>All Implemented Interfaces:</dt>
+<dd>java.io.Serializable, <a href="../../../../../org/apache/spark/api/java/JavaRDDLike.html" title="interface in org.apache.spark.api.java">JavaRDDLike</a><Double,<a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a>></dd>
+</dl>
+<hr>
+<br>
+<pre>public class <span class="strong">JavaDoubleRDD</span>
+extends Object</pre>
+<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../serialized-form.html#org.apache.spark.api.java.JavaDoubleRDD">Serialized Form</a></dd></dl>
+</li>
+</ul>
+</div>
+<div class="summary">
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+<li class="blockList">
+<!-- ======== CONSTRUCTOR SUMMARY ======== -->
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+<li class="blockList"><a name="constructor_summary">
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+</a>
+<h3>Constructor Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
+<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
+<tr>
+<th class="colOne" scope="col">Constructor and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colOne"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#JavaDoubleRDD(org.apache.spark.rdd.RDD)">JavaDoubleRDD</a></strong>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object> srdd)</code> </td>
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+</table>
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+</a>
+<h3>Method Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
+<caption><span>Methods</span><span class="tabEnd"> </span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Method and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#cache()">cache</a></strong>()</code>
+<div class="block">Persist this RDD with the default storage level (`MEMORY_ONLY`).</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.reflect.ClassTag<Double></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#classTag()">classTag</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#coalesce(int)">coalesce</a></strong>(int numPartitions)</code>
+<div class="block">Return a new RDD that is reduced into <code>numPartitions</code> partitions.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#coalesce(int,%20boolean)">coalesce</a></strong>(int numPartitions,
+ boolean shuffle)</code>
+<div class="block">Return a new RDD that is reduced into <code>numPartitions</code> partitions.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#distinct()">distinct</a></strong>()</code>
+<div class="block">Return a new RDD containing the distinct elements in this RDD.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#distinct(int)">distinct</a></strong>(int numPartitions)</code>
+<div class="block">Return a new RDD containing the distinct elements in this RDD.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#filter(org.apache.spark.api.java.function.Function)">filter</a></strong>(<a href="../../../../../org/apache/spark/api/java/function/Function.html" title="interface in org.apache.spark.api.java.function">Function</a><Double,Boolean> f)</code>
+<div class="block">Return a new RDD containing only the elements that satisfy a predicate.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#first()">first</a></strong>()</code>
+<div class="block">Return the first element in this RDD.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#fromRDD(org.apache.spark.rdd.RDD)">fromRDD</a></strong>(<a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object> rdd)</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>long[]</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#histogram(double[])">histogram</a></strong>(double[] buckets)</code>
+<div class="block">Compute a histogram using the provided buckets.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>long[]</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#histogram(java.lang.Double[],%20boolean)">histogram</a></strong>(Double[] buckets,
+ boolean evenBuckets)</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.Tuple2<double[],long[]></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#histogram(int)">histogram</a></strong>(int bucketCount)</code>
+<div class="block">Compute a histogram of the data using bucketCount number of buckets evenly
+ spaced between the minimum and maximum of the RDD.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
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+<div class="block">Return the intersection of this RDD and another one.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#max()">max</a></strong>()</code>
+<div class="block">Returns the maximum element from this RDD as defined by
+ the default comparator natural order.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#mean()">mean</a></strong>()</code>
+<div class="block">Compute the mean of this RDD's elements.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/partial/PartialResult.html" title="class in org.apache.spark.partial">PartialResult</a><<a href="../../../../../org/apache/spark/partial/BoundedDouble.html" title="class in org.apache.spark.partial">BoundedDouble</a>></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#meanApprox(long)">meanApprox</a></strong>(long timeout)</code>
+<div class="block">Approximate operation to return the mean within a timeout.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/partial/PartialResult.html" title="class in org.apache.spark.partial">PartialResult</a><<a href="../../../../../org/apache/spark/partial/BoundedDouble.html" title="class in org.apache.spark.partial">BoundedDouble</a>></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#meanApprox(long,%20java.lang.Double)">meanApprox</a></strong>(long timeout,
+ Double confidence)</code>
+<div class="block">Return the approximate mean of the elements in this RDD.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#min()">min</a></strong>()</code>
+<div class="block">Returns the minimum element from this RDD as defined by
+ the default comparator natural order.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#persist(org.apache.spark.storage.StorageLevel)">persist</a></strong>(<a href="../../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> newLevel)</code>
+<div class="block">Set this RDD's storage level to persist its values across operations after the first time
+ it is computed.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Double></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#rdd()">rdd</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#repartition(int)">repartition</a></strong>(int numPartitions)</code>
+<div class="block">Return a new RDD that has exactly numPartitions partitions.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#sample(boolean,%20java.lang.Double)">sample</a></strong>(boolean withReplacement,
+ Double fraction)</code>
+<div class="block">Return a sampled subset of this RDD.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#sample(boolean,%20java.lang.Double,%20long)">sample</a></strong>(boolean withReplacement,
+ Double fraction,
+ long seed)</code>
+<div class="block">Return a sampled subset of this RDD.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#sampleStdev()">sampleStdev</a></strong>()</code>
+<div class="block">Compute the sample standard deviation of this RDD's elements (which corrects for bias in
+ estimating the standard deviation by dividing by N-1 instead of N).</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#sampleVariance()">sampleVariance</a></strong>()</code>
+<div class="block">Compute the sample variance of this RDD's elements (which corrects for bias in
+ estimating the standard variance by dividing by N-1 instead of N).</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#setName(java.lang.String)">setName</a></strong>(String name)</code>
+<div class="block">Assign a name to this RDD</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#srdd()">srdd</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/util/StatCounter.html" title="class in org.apache.spark.util">StatCounter</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#stats()">stats</a></strong>()</code>
+<div class="block">Return a <a href="../../../../../org/apache/spark/util/StatCounter.html" title="class in org.apache.spark.util"><code>StatCounter</code></a> object that captures the mean, variance and
+ count of the RDD's elements in one operation.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>Double</code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#stdev()">stdev</a></strong>()</code>
+<div class="block">Compute the standard deviation of this RDD's elements.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
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+<div class="block">Return an RDD with the elements from <code>this</code> that are not in <code>other</code>.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
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+ int numPartitions)</code>
+<div class="block">Return an RDD with the elements from <code>this</code> that are not in <code>other</code>.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html#subtract(org.apache.spark.api.java.JavaDoubleRDD,%20org.apache.spark.Partitioner)">subtract</a></strong>(<a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a> other,
+ <a href="../../../../../org/apache/spark/Partitioner.html" title="class in org.apache.spark">Partitioner</a> p)</code>
+<div class="block">Return an RDD with the elements from <code>this</code> that are not in <code>other</code>.</div>
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+<tr class="altColor">
+<td class="colFirst"><code>Double</code></td>
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+<div class="block">Approximate operation to return the sum within a timeout.</div>
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+</tr>
+<tr class="altColor">
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+<div class="block">Approximate operation to return the sum within a timeout.</div>
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+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static <a href="../../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object></code></td>
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+<div class="block">Return an RDD with the elements from <code>this</code> that are not in <code>other</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - (undocumented)</dd><dd><code>numPartitions</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
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+ <a href="../../../../../org/apache/spark/Partitioner.html" title="class in org.apache.spark">Partitioner</a> p)</pre>
+<div class="block">Return an RDD with the elements from <code>this</code> that are not in <code>other</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - (undocumented)</dd><dd><code>p</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sample(boolean, java.lang.Double)">
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+<pre>public <a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a> sample(boolean withReplacement,
+ Double fraction)</pre>
+<div class="block">Return a sampled subset of this RDD.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>withReplacement</code> - (undocumented)</dd><dd><code>fraction</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/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a> sample(boolean withReplacement,
+ Double fraction,
+ long seed)</pre>
+<div class="block">Return a sampled subset of this RDD.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>withReplacement</code> - (undocumented)</dd><dd><code>fraction</code> - (undocumented)</dd><dd><code>seed</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
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+<div class="block">Return the union of this RDD and another one. Any identical elements will appear multiple
+ times (use <code>.distinct()</code> to eliminate them).</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="intersection(org.apache.spark.api.java.JavaDoubleRDD)">
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+<div class="block">Return the intersection of this RDD and another one. The output will not contain any duplicate
+ elements, even if the input RDDs did.
+ <p>
+ Note that this method performs a shuffle internally.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>other</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sum()">
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+<pre>public Double sum()</pre>
+<div class="block">Add up the elements in this RDD.</div>
+</li>
+</ul>
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+<h4>min</h4>
+<pre>public Double min()</pre>
+<div class="block">Returns the minimum element from this RDD as defined by
+ the default comparator natural order.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the minimum of the RDD</dd></dl>
+</li>
+</ul>
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+<!-- -->
+</a>
+<ul class="blockList">
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+<h4>max</h4>
+<pre>public Double max()</pre>
+<div class="block">Returns the maximum element from this RDD as defined by
+ the default comparator natural order.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>the maximum of the RDD</dd></dl>
+</li>
+</ul>
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+<h4>stats</h4>
+<pre>public <a href="../../../../../org/apache/spark/util/StatCounter.html" title="class in org.apache.spark.util">StatCounter</a> stats()</pre>
+<div class="block">Return a <a href="../../../../../org/apache/spark/util/StatCounter.html" title="class in org.apache.spark.util"><code>StatCounter</code></a> object that captures the mean, variance and
+ count of the RDD's elements in one operation.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="mean()">
+<!-- -->
+</a>
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+<h4>mean</h4>
+<pre>public Double mean()</pre>
+<div class="block">Compute the mean of this RDD's elements.</div>
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+</a>
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+<h4>variance</h4>
+<pre>public Double variance()</pre>
+<div class="block">Compute the variance of this RDD's elements.</div>
+</li>
+</ul>
+<a name="stdev()">
+<!-- -->
+</a>
+<ul class="blockList">
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+<h4>stdev</h4>
+<pre>public Double stdev()</pre>
+<div class="block">Compute the standard deviation of this RDD's elements.</div>
+</li>
+</ul>
+<a name="sampleStdev()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>sampleStdev</h4>
+<pre>public Double sampleStdev()</pre>
+<div class="block">Compute the sample standard deviation of this RDD's elements (which corrects for bias in
+ estimating the standard deviation by dividing by N-1 instead of N).</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sampleVariance()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>sampleVariance</h4>
+<pre>public Double sampleVariance()</pre>
+<div class="block">Compute the sample variance of this RDD's elements (which corrects for bias in
+ estimating the standard variance by dividing by N-1 instead of N).</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="meanApprox(long, java.lang.Double)">
+<!-- -->
+</a>
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+<li class="blockList">
+<h4>meanApprox</h4>
+<pre>public <a href="../../../../../org/apache/spark/partial/PartialResult.html" title="class in org.apache.spark.partial">PartialResult</a><<a href="../../../../../org/apache/spark/partial/BoundedDouble.html" title="class in org.apache.spark.partial">BoundedDouble</a>> meanApprox(long timeout,
+ Double confidence)</pre>
+<div class="block">Return the approximate mean of the elements in this RDD.</div>
+</li>
+</ul>
+<a name="meanApprox(long)">
+<!-- -->
+</a>
+<ul class="blockList">
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+<div class="block">Approximate operation to return the mean within a timeout.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>timeout</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sumApprox(long, java.lang.Double)">
+<!-- -->
+</a>
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+<h4>sumApprox</h4>
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+ Double confidence)</pre>
+<div class="block">Approximate operation to return the sum within a timeout.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>timeout</code> - (undocumented)</dd><dd><code>confidence</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sumApprox(long)">
+<!-- -->
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+<ul class="blockList">
+<li class="blockList">
+<h4>sumApprox</h4>
+<pre>public <a href="../../../../../org/apache/spark/partial/PartialResult.html" title="class in org.apache.spark.partial">PartialResult</a><<a href="../../../../../org/apache/spark/partial/BoundedDouble.html" title="class in org.apache.spark.partial">BoundedDouble</a>> sumApprox(long timeout)</pre>
+<div class="block">Approximate operation to return the sum within a timeout.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>timeout</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="histogram(int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>histogram</h4>
+<pre>public scala.Tuple2<double[],long[]> histogram(int bucketCount)</pre>
+<div class="block">Compute a histogram of the data using bucketCount number of buckets evenly
+ spaced between the minimum and maximum of the RDD. For example if the min
+ value is 0 and the max is 100 and there are two buckets the resulting
+ buckets will be [0,50) [50,100]. bucketCount must be at least 1
+ If the RDD contains infinity, NaN throws an exception
+ If the elements in RDD do not vary (max == min) always returns a single bucket.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>bucketCount</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="histogram(double[])">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>histogram</h4>
+<pre>public long[] histogram(double[] buckets)</pre>
+<div class="block">Compute a histogram using the provided buckets. The buckets are all open
+ to the left except for the last which is closed
+ e.g. for the array
+ [1,10,20,50] the buckets are [1,10) [10,20) [20,50]
+ e.g 1&lt;=x&lt;10 , 10&lt;=x&lt;20, 20&lt;=x&lt;50
+ And on the input of 1 and 50 we would have a histogram of 1,0,0
+ <p>
+ Note: if your histogram is evenly spaced (e.g. [0, 10, 20, 30]) this can be switched
+ from an O(log n) insertion to O(1) per element. (where n = # buckets) if you set evenBuckets
+ to true.
+ buckets must be sorted and not contain any duplicates.
+ buckets array must be at least two elements
+ All NaN entries are treated the same. If you have a NaN bucket it must be
+ the maximum value of the last position and all NaN entries will be counted
+ in that bucket.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>buckets</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="histogram(java.lang.Double[], boolean)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>histogram</h4>
+<pre>public long[] histogram(Double[] buckets,
+ boolean evenBuckets)</pre>
+</li>
+</ul>
+<a name="setName(java.lang.String)">
+<!-- -->
+</a>
+<ul class="blockListLast">
+<li class="blockList">
+<h4>setName</h4>
+<pre>public <a href="../../../../../org/apache/spark/api/java/JavaDoubleRDD.html" title="class in org.apache.spark.api.java">JavaDoubleRDD</a> setName(String name)</pre>
+<div class="block">Assign a name to this RDD</div>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</div>
+<!-- ========= END OF CLASS DATA ========= -->
+<!-- ======= START OF BOTTOM NAVBAR ====== -->
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+<div class="header">
+<div class="subTitle">org.apache.spark.api.java</div>
+<h2 title="Interface JavaFutureAction" class="title">Interface JavaFutureAction<T></h2>
+</div>
+<div class="contentContainer">
+<div class="description">
+<ul class="blockList">
+<li class="blockList">
+<dl>
+<dt>All Superinterfaces:</dt>
+<dd>java.util.concurrent.Future<T></dd>
+</dl>
+<hr>
+<br>
+<pre>public interface <span class="strong">JavaFutureAction<T></span>
+extends java.util.concurrent.Future<T></pre>
+</li>
+</ul>
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+<ul class="blockList">
+<li class="blockList">
+<!-- ========== METHOD SUMMARY =========== -->
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+<li class="blockList"><a name="method_summary">
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+<h3>Method Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
+<caption><span>Methods</span><span class="tabEnd"> </span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Method and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>java.util.List<Integer></code></td>
+<td class="colLast"><code><strong><a href="../../../../../org/apache/spark/api/java/JavaFutureAction.html#jobIds()">jobIds</a></strong>()</code>
+<div class="block">Returns the job IDs run by the underlying async operation.</div>
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+</tr>
+</table>
+<ul class="blockList">
+<li class="blockList"><a name="methods_inherited_from_class_java.util.concurrent.Future">
+<!-- -->
+</a>
+<h3>Methods inherited from interface java.util.concurrent.Future</h3>
+<code>cancel, get, get, isCancelled, isDone</code></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+<li class="blockList"><a name="method_detail">
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+<a name="jobIds()">
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+<li class="blockList">
+<h4>jobIds</h4>
+<pre>java.util.List<Integer> jobIds()</pre>
+<div class="block">Returns the job IDs run by the underlying async operation.
+
+ This returns the current snapshot of the job list. Certain operations may run multiple
+ jobs, so multiple calls to this method may return different lists.</div>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</div>
+<!-- ========= END OF CLASS DATA ========= -->
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