diff options
Diffstat (limited to 'site/docs/0.9.0/api')
73 files changed, 89 insertions, 87 deletions
diff --git a/site/docs/0.9.0/api/core/org/apache/spark/Accumulator.html b/site/docs/0.9.0/api/core/org/apache/spark/Accumulator.html index c883ab40b..0ac285f42 100644 --- a/site/docs/0.9.0/api/core/org/apache/spark/Accumulator.html +++ b/site/docs/0.9.0/api/core/org/apache/spark/Accumulator.html @@ -42,8 +42,8 @@ <div id="comment" class="fullcommenttop"><div class="comment cmt"><p>A simpler value of <a href="Accumulable.html" class="extype" name="org.apache.spark.Accumulable">Accumulable</a> where the result type being accumulated is the same as the types of elements being merged, i.e. variables that are only "added" to through an associative operation and can therefore be efficiently supported in parallel. They can be used -to implement counters (as in MapReduce) or sums. Spark natively supports accumulators of type -<code>Int</code> and <code>Double</code>, and programmers can add support for new types.</p><p>An accumulator is created from an initial value <code>v</code> by calling <a href="SparkContext.html#accumulator[T](initialValue:T)(implicitparam:org.apache.spark.AccumulatorParam[T]):org.apache.spark.Accumulator[T]" class="extmbr" name="org.apache.spark.SparkContext#accumulator">SparkContext#accumulator</a>. +to implement counters (as in MapReduce) or sums. Spark natively supports accumulators of numeric +value types, and programmers can add support for new types.</p><p>An accumulator is created from an initial value <code>v</code> by calling <a href="SparkContext.html#accumulator[T](initialValue:T)(implicitparam:org.apache.spark.AccumulatorParam[T]):org.apache.spark.Accumulator[T]" class="extmbr" name="org.apache.spark.SparkContext#accumulator">SparkContext#accumulator</a>. Tasks running on the cluster can then add to it using the <a href="Accumulable.html#+=(term:T):Unit" class="extmbr" name="org.apache.spark.Accumulable#+=">Accumulable#+=</a> operator. However, they cannot read its value. Only the driver program can read the accumulator's value, using its value method.</p><p>The interpreter session below shows an accumulator being used to add up the elements of an array:</p><pre>scala> <span class="kw">val</span> accum = sc.accumulator(<span class="num">0</span>) diff --git a/site/docs/0.9.0/api/core/org/apache/spark/Partitioner$.html b/site/docs/0.9.0/api/core/org/apache/spark/Partitioner$.html index 952dce86e..5fcd7611c 100644 --- a/site/docs/0.9.0/api/core/org/apache/spark/Partitioner$.html +++ b/site/docs/0.9.0/api/core/org/apache/spark/Partitioner$.html @@ -196,7 +196,7 @@ </h4> <p class="shortcomment cmt">Choose a partitioner to use for a cogroup-like operation between a number of RDDs.</p><div class="fullcomment"><div class="comment cmt"><p>Choose a partitioner to use for a cogroup-like operation between a number of RDDs.</p><p>If any of the RDDs already has a partitioner, choose that one.</p><p>Otherwise, we use a default HashPartitioner. For the number of partitions, if spark.default.parallelism is set, then we'll use the value from SparkContext -defaultParallelism, otherwise we'll use the max number of upstream partitions.</p><p>Unless spark.default.parallelism is set, He number of partitions will be the +defaultParallelism, otherwise we'll use the max number of upstream partitions.</p><p>Unless spark.default.parallelism is set, the number of partitions will be the same as the number of partitions in the largest upstream RDD, as this should be least likely to cause out-of-memory errors.</p><p>We use two method parameters (rdd, others) to enforce callers passing at least 1 RDD. </p></div></div> diff --git a/site/docs/0.9.0/api/core/org/apache/spark/scheduler/StageInfo.html b/site/docs/0.9.0/api/core/org/apache/spark/scheduler/StageInfo.html index 080a3a58b..b8db679db 100644 --- a/site/docs/0.9.0/api/core/org/apache/spark/scheduler/StageInfo.html +++ b/site/docs/0.9.0/api/core/org/apache/spark/scheduler/StageInfo.html @@ -39,7 +39,9 @@ </span> </h4> - <div id="comment" class="fullcommenttop"><div class="toggleContainer block"> + <div id="comment" class="fullcommenttop"><div class="comment cmt"><p>Stores information about a stage to pass from the scheduler to SparkListeners.</p><p>taskInfos stores the metrics for all tasks that have completed, including redundant, speculated +tasks. +</p></div><div class="toggleContainer block"> <span class="toggle">Linear Supertypes</span> <div class="superTypes hiddenContent"><span class="extype" name="scala.AnyRef">AnyRef</span>, <span class="extype" name="scala.Any">Any</span></div> </div></div> diff --git a/site/docs/0.9.0/api/core/org/apache/spark/scheduler/package.html b/site/docs/0.9.0/api/core/org/apache/spark/scheduler/package.html index 31de15b16..14541b536 100644 --- a/site/docs/0.9.0/api/core/org/apache/spark/scheduler/package.html +++ b/site/docs/0.9.0/api/core/org/apache/spark/scheduler/package.html @@ -226,7 +226,7 @@ <a href="StageInfo.html"><span class="name">StageInfo</span></a><span class="result"> extends <span class="extype" name="scala.AnyRef">AnyRef</span></span> </span> </h4> - + <p class="comment cmt">Stores information about a stage to pass from the scheduler to SparkListeners.</p> </li><li name="org.apache.spark.scheduler.StatsReportListener" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped"> <a id="StatsReportListenerextendsSparkListenerwithLogging"></a> <a id="StatsReportListener:StatsReportListener"></a> diff --git a/site/docs/0.9.0/api/mllib/index.html b/site/docs/0.9.0/api/mllib/index.html index 9fbbc76db..ab3ad7cae 100644 --- a/site/docs/0.9.0/api/mllib/index.html +++ b/site/docs/0.9.0/api/mllib/index.html @@ -60,7 +60,7 @@ <ol class="packages"> </ol> </li><li class="pack" title="org.apache.spark.mllib.recommendation"> <a class="tplshow" href="org/apache/spark/mllib/recommendation/package.html" target="template">org.apache.spark.mllib.recommendation</a> - <ol class="templates"><li title="org.apache.spark.mllib.recommendation.ALS"><a class="tplshow" href="org/apache/spark/mllib/recommendation/ALS$.html" target="template"><span class="object">(object)</span></a><a class="tplshow" href="org/apache/spark/mllib/recommendation/ALS.html" target="template"><span class="class">(class)</span><span class="tplLink">ALS</span></a></li><li title="org.apache.spark.mllib.recommendation.MatrixFactorizationModel"><div class="placeholder"></div><a class="tplshow" href="org/apache/spark/mllib/recommendation/MatrixFactorizationModel.html" target="template"><span class="class">(class)</span><span class="tplLink">MatrixFactorizationModel</span></a></li><li title="org.apache.spark.mllib.recommendation.MFDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/recommendation/MFDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">MFDataGenerator</span></a></li><li title="org.apache.spark.mllib.recommendation.Rating"><div class="placeholder"></div><a class="tplshow" href="org/apache/spark/mllib/recommendation/Rating.html" target="template"><span class="case class">(case class)</span><span class="tplLink">Rating</span></a></li></ol> + <ol class="templates"><li title="org.apache.spark.mllib.recommendation.ALS"><a class="tplshow" href="org/apache/spark/mllib/recommendation/ALS$.html" target="template"><span class="object">(object)</span></a><a class="tplshow" href="org/apache/spark/mllib/recommendation/ALS.html" target="template"><span class="class">(class)</span><span class="tplLink">ALS</span></a></li><li title="org.apache.spark.mllib.recommendation.MatrixFactorizationModel"><div class="placeholder"></div><a class="tplshow" href="org/apache/spark/mllib/recommendation/MatrixFactorizationModel.html" target="template"><span class="class">(class)</span><span class="tplLink">MatrixFactorizationModel</span></a></li><li title="org.apache.spark.mllib.recommendation.Rating"><div class="placeholder"></div><a class="tplshow" href="org/apache/spark/mllib/recommendation/Rating.html" target="template"><span class="case class">(case class)</span><span class="tplLink">Rating</span></a></li></ol> <ol class="packages"> </ol> </li><li class="pack" title="org.apache.spark.mllib.regression"> <a class="tplshow" href="org/apache/spark/mllib/regression/package.html" target="template">org.apache.spark.mllib.regression</a> @@ -68,7 +68,7 @@ <ol class="packages"> </ol> </li><li class="pack" title="org.apache.spark.mllib.util"> <a class="tplshow" href="org/apache/spark/mllib/util/package.html" target="template">org.apache.spark.mllib.util</a> - <ol class="templates"><li title="org.apache.spark.mllib.util.DataValidators"><a class="tplshow" href="org/apache/spark/mllib/util/DataValidators$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">DataValidators</span></a></li><li title="org.apache.spark.mllib.util.KMeansDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/KMeansDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">KMeansDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.LinearDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/LinearDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">LinearDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.LogisticRegressionDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/LogisticRegressionDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">LogisticRegressionDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.MLUtils"><a class="tplshow" href="org/apache/spark/mllib/util/MLUtils$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">MLUtils</span></a></li><li title="org.apache.spark.mllib.util.SVMDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/SVMDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">SVMDataGenerator</span></a></li></ol> + <ol class="templates"><li title="org.apache.spark.mllib.util.DataValidators"><a class="tplshow" href="org/apache/spark/mllib/util/DataValidators$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">DataValidators</span></a></li><li title="org.apache.spark.mllib.util.KMeansDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/KMeansDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">KMeansDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.LinearDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/LinearDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">LinearDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.LogisticRegressionDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/LogisticRegressionDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">LogisticRegressionDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.MFDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/MFDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">MFDataGenerator</span></a></li><li title="org.apache.spark.mllib.util.MLUtils"><a class="tplshow" href="org/apache/spark/mllib/util/MLUtils$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">MLUtils</span></a></li><li title="org.apache.spark.mllib.util.SVMDataGenerator"><a class="tplshow" href="org/apache/spark/mllib/util/SVMDataGenerator$.html" target="template"><span class="object">(object)</span><div class="placeholder"></div><span class="tplLink">SVMDataGenerator</span></a></li></ol> <ol class="packages"> </ol> </li></ol> </li></ol> diff --git a/site/docs/0.9.0/api/mllib/index.js b/site/docs/0.9.0/api/mllib/index.js index 2553a6479..4e48b0980 100644 --- a/site/docs/0.9.0/api/mllib/index.js +++ b/site/docs/0.9.0/api/mllib/index.js @@ -1 +1 @@ -Index.PACKAGES = {"org.apache.spark.mllib.api" : [], "org.apache.spark.mllib.classification" : [{"trait" : "org\/apache\/spark\/mllib\/classification\/ClassificationModel.html", "name" : "org.apache.spark.mllib.classification.ClassificationModel"}, {"class" : "org\/apache\/spark\/mllib\/classification\/LogisticRegressionModel.html", "name" : "org.apache.spark.mllib.classification.LogisticRegressionModel"}, {"object" : "org\/apache\/spark\/mllib\/classification\/LogisticRegressionWithSGD$.html", "class" : "org\/apache\/spark\/mllib\/classification\/LogisticRegressionWithSGD.html", "name" : "org.apache.spark.mllib.classification.LogisticRegressionWithSGD"}, {"object" : "org\/apache\/spark\/mllib\/classification\/NaiveBayes$.html", "class" : "org\/apache\/spark\/mllib\/classification\/NaiveBayes.html", "name" : "org.apache.spark.mllib.classification.NaiveBayes"}, {"class" : "org\/apache\/spark\/mllib\/classification\/NaiveBayesModel.html", "name" : "org.apache.spark.mllib.classification.NaiveBayesModel"}, {"class" : "org\/apache\/spark\/mllib\/classification\/SVMModel.html", "name" : "org.apache.spark.mllib.classification.SVMModel"}, {"object" : "org\/apache\/spark\/mllib\/classification\/SVMWithSGD$.html", "class" : "org\/apache\/spark\/mllib\/classification\/SVMWithSGD.html", "name" : "org.apache.spark.mllib.classification.SVMWithSGD"}], "org.apache.spark" : [], "org.apache" : [], "org.apache.spark.mllib.clustering" : [{"object" : "org\/apache\/spark\/mllib\/clustering\/KMeans$.html", "class" : "org\/apache\/spark\/mllib\/clustering\/KMeans.html", "name" : "org.apache.spark.mllib.clustering.KMeans"}, {"class" : "org\/apache\/spark\/mllib\/clustering\/KMeansModel.html", "name" : "org.apache.spark.mllib.clustering.KMeansModel"}], "org.apache.spark.mllib.util" : [{"object" : "org\/apache\/spark\/mllib\/util\/DataValidators$.html", "name" : "org.apache.spark.mllib.util.DataValidators"}, {"object" : "org\/apache\/spark\/mllib\/util\/KMeansDataGenerator$.html", "name" : "org.apache.spark.mllib.util.KMeansDataGenerator"}, {"object" : "org\/apache\/spark\/mllib\/util\/LinearDataGenerator$.html", "name" : "org.apache.spark.mllib.util.LinearDataGenerator"}, {"object" : 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