List of aggregate() Examples

Examples of aggregate()

algorithm.inhereitance.AveragingAggregator.aggregate()
algorithm.inhereitance.LowPassAveragingAggregator.aggregate()
algorithm.inhereitance.SummingAggregator.aggregate()
ar.Renderer.aggregate()
Produces the aggregates for a specific set of glyphs given the current view. @param glyphs The items to render @param selector Associates glyphs with positions @param aggregator Converts a glyph into an aggregate for a specific position @param viewTransform The view transform (e.g., geometry to screen) @param width The width of the current viewport @param height The height of the current viewport @return Resulting aggregate set
ar.renderers.ParallelRenderer.aggregate()
cern.colt.matrix.DoubleMatrix1D.aggregate()
x[i]*x[i] ) matrix.aggregate(F.plus,F.square); --> 14 For further examples, see the package doc. @param aggr an aggregation function taking as first argument the current aggregation and as second argument the transformed current cell value. @param f a function transforming the current cell value. @return the aggregated measure. @see cern.jet.math.Functions
cern.colt.matrix.DoubleMatrix3D.aggregate()
x[slice,row,col]*x[slice,row,col] ) matrix.aggregate(F.plus,F.square); --> 140 For further examples, see the package doc. @param aggr an aggregation function taking as first argument the current aggregation and as second argument the transformed current cell value. @param f a function transforming the current cell value. @return the aggregated measure. @see cern.jet.math.Functions
co.nubetech.crux.server.functions.CruxAggregator.aggregate()
co.nubetech.crux.server.functions.SumDoubleAggregator.aggregate()
com.cloud.info.RunningHostInfoAgregator.aggregate()
com.facebook.presto.metadata.FunctionListBuilder.aggregate()
com.mongodb.DBCollection.aggregate()
Method implements aggregation framework. @param firstOp requisite first operation to be performed in the aggregation pipeline @param additionalOps additional operations to be performed in the aggregation pipeline @return the aggregation operation's result set @deprecated Use {@link com.mongodb.DBCollection#aggregate(java.util.List)} instead @mongodb.driver.manual core/aggregation-pipeline/ Aggregation @mongodb.server.release 2.2
com.opengamma.engine.function.config.FunctionConfigurationDefinitionAggregator.aggregate()
com.opengamma.financial.aggregation.PortfolioAggregator.aggregate()
com.puppetlabs.geppetto.junitresult.util.JunitresultAggregator.aggregate()
Creates an aggregated JunitResult from all JUnit XML files discovered in a location under the given reportDir. The resulting JunitResult will have a name that is based on the path from the given rootDir to the discovered file (including the discovered file's name). The following rules are applied:
- If the name of the file starts with "SPEC-" this part is dropped.
- The suffix ".xml" is not included.
- If a loaded testsuide contains testcases and these have different classname attributes, the testsuite is repackaged as one suite per classname. e.g. if ./mystack/allroottests.xml contains testcases from ./spec/x_spec.rb, and ./y_spec.rb (and each has testcases a and b) the resulting strucure is:
```
 mystack : suite  allroottests : suite spec/x_spec : suite a : tc b : tc y_spec : suite a : tc b : tc 
```
- If a loaded testsuite has the same name as a single embedded testcase, the structure is flattented into a single testcase. This handles the output from ci_reporter. As an example, if tests are named the same way in two different ..._spec.rb files Game#score in a_spec.rb and b_spec.rb the result is:
```
 mystack : suite Game : suite Game.0 : suite Game-score : suite Game#score : tc Game-score.0 :suite 
```
  Without the flattening, each tc would be wrapped in a testsuite named the same way as the tc. Note that ci_reporter solves non unique naming by appending a ".n" to the filenames, but this is not applied inside the resulting xml. (The aggregator's method of using the name of the file as the name of the suite solves this issue - even if it is impossible to figure out where it comes from, it is at least unique. This is really a ci_reporter issue).
- If the given reportDir, and rootDir are the same the last segment of the rootDir is used as the name of the root testsuite.
- If a loaded testsuite's timestamp is missing, it will be derived from the file ctime it is loaded from.
When scanning, all ".xml" files in the structure are assumed to be JUnit reports. Failure to load a file will insert a synthetic testsuite named after the file, and with a synthetic failed testcase.
@param reportDir @param rootDir @return
com.salesforce.phoenix.expression.aggregator.Aggregator.aggregate()
Incrementally aggregate the value with the current row @param tuple the result containing all the key values of the row @param ptr the bytes pointer to the underlying result
com.salesforce.phoenix.expression.aggregator.Aggregators.aggregate()
Aggregate over aggregators @param result the single row Result from scan iteration
com.salesforce.phoenix.expression.aggregator.DistinctCountClientAggregator.aggregate()
com.salesforce.phoenix.expression.aggregator.DistinctValueWithCountClientAggregator.aggregate()
com.salesforce.phoenix.expression.aggregator.LongSumAggregator.aggregate()
com.tangosol.net.NamedCache.aggregate()
io.druid.query.aggregation.CountAggregator.aggregate()
nz.co.abrahams.asithappens.storage.DataSet.aggregate()
Aggregates a set of data points according to the given policy over some time interval. @param aggregation the aggregation policy to use @param startTime the start of the aggregation interval @param endTime the end of the aggregation interval @return a single data point representing the aggregation over the interval
org.apache.accumulo.core.iterators.aggregation.NumArraySummation.aggregate()
org.apache.accumulo.core.iterators.aggregation.NumSummation.aggregate()
org.apache.giraph.comm.aggregators.OwnerAggregatorServerData.aggregate()
Aggregate partial value of one of current worker's aggregators. Thread-safe. Call only after aggregators have been registered. @param name Name of the aggregator @param value Value to aggregate to it
org.apache.giraph.examples.LongSumAggregator.aggregate()
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.aggregate()
This function will be called by GroupByOperator when it sees a new input row. @param agg The object to store the aggregation result. @param parameters The row, can be inspected by the OIs passed in init().
org.apache.lucene.facet.search.FacetsAggregator.aggregate()
Aggregate the facets found in the given matching documents.
org.apache.lucene.facet.search.aggregator.Aggregator.aggregate()
Collect (and do whatever an implementation deems appropriate) the category given by its ordinal. This category belongs to a document given earlier by {@link #setNextDoc(int,float)}.
org.apache.mahout.math.Matrix.aggregate()
Collects the results of a function applied to each element of a matrix and then aggregated. @param combiner A function that combines the results of the mapper. @param mapper A function to apply to each element. @return The result.
org.apache.maven.surefire.suite.RunResult.aggregate()
org.apache.phoenix.expression.aggregator.Aggregator.aggregate()
Incrementally aggregate the value with the current row @param tuple the result containing all the key values of the row @param ptr the bytes pointer to the underlying result
org.apache.phoenix.expression.aggregator.Aggregators.aggregate()
Aggregate over aggregators @param result the single row Result from scan iteration
org.apache.phoenix.expression.aggregator.DistinctCountClientAggregator.aggregate()
org.apache.phoenix.expression.aggregator.DistinctValueWithCountClientAggregator.aggregate()
org.apache.phoenix.expression.aggregator.LongSumAggregator.aggregate()
org.codehaus.enunciate.contract.validation.ValidationResult.aggregate()
Aggregate the specified result to these results. @param result The result to aggregate.
org.dashbuilder.dataset.group.AggregateFunction.aggregate()
org.elasticsearch.hadoop.rest.stats.Stats.aggregate()
org.gradle.api.reporting.GenerateBuildDashboard.aggregate()
Configures which reports are to be aggregated in the build dashboard report generated by this task.
```
 buildDashboard { aggregate codenarcMain, checkstyleMain } 
```
@param reportings an array of {@link Reporting} instances that are to be aggregated
org.noos.xing.mydoggy.ToolWindow.aggregate()
The method is used to set to the true value the visible property of the tool. The tool becomes visible in a special way. In fact, if there is another tool visible with the same anchor then these two tools will be aggregate to be visible both. @since 1.2.0
redis.clients.jedis.ZParams.aggregate()
siena.base.test.model.AggregateChildManualModel.aggregate()
siena.base.test.model.AggregateChildModel.aggregate()
sizzle.aggregators.Table.aggregate()

Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Max( Sqrt(x[i]) / 2 ) 
System.out.println(matrix.aggregate(F.max,F.chain(F.div(2),F.sqrt)));
//--> 0.8660254037844386


// Number of all cells with 0 <= value <= 2
System.out.println(matrix.aggregate(F.plus,F.between(0,2)));
//--> 3


// Number of all cells with 0.8 <= Log2(value) <= 1.2
System.out.println(matrix.aggregate(F.plus,F.chain(F.between(0.8,1.2),F.log2)));
//--> 1

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Number of all cells with 0 <= value <= 2
System.out.println(matrix.aggregate(F.plus,F.between(0,2)));
//--> 3


// Number of all cells with 0.8 <= Log2(value) <= 1.2
System.out.println(matrix.aggregate(F.plus,F.chain(F.between(0.8,1.2),F.log2)));
//--> 1


// Product( x[i] )
System.out.println(matrix.aggregate(F.mult,F.identity));
//--> 0

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Number of all cells with 0.8 <= Log2(value) <= 1.2
System.out.println(matrix.aggregate(F.plus,F.chain(F.between(0.8,1.2),F.log2)));
//--> 1


// Product( x[i] )
System.out.println(matrix.aggregate(F.mult,F.identity));
//--> 0


// Product( x[i] ) of all x[i] > limit
final double limit = 1;
DoubleFunction f = new DoubleFunction() {

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Product( x[i] ) of all x[i] > limit
final double limit = 1;
DoubleFunction f = new DoubleFunction() {
  public final double apply(double a) { return a>limit ? a : 1; }
};
System.out.println(matrix.aggregate(F.mult,f));
//--> 6


// Sum( (x[i]+y[i])^2 )
DoubleMatrix1D otherMatrix1D = matrix.copy();
System.out.println(matrix.aggregate(otherMatrix1D, F.plus, F.chain(F.square,F.plus)));

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

  }
));
//--> 14


// Sum( x[i]*x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.square));
//--> 14


// Sum( x[i]*x[i]*x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.pow(3)));
//--> 36

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Sum( x[i]*x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.square));
//--> 14


// Sum( x[i]*x[i]*x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.pow(3)));
//--> 36


// Sum( x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.identity));
//--> 6

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Sum( x[i]*x[i]*x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.pow(3)));
//--> 36


// Sum( x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.identity));
//--> 6


// Min( x[i] ) 
System.out.println(matrix.aggregate(F.min,F.identity));
//--> 0

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Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Sum( x[i] ) 
System.out.println(matrix.aggregate(F.plus,F.identity));
//--> 6


// Min( x[i] ) 
System.out.println(matrix.aggregate(F.min,F.identity));
//--> 0


// Max( Sqrt(x[i]) / 2 ) 
System.out.println(matrix.aggregate(F.max,F.chain(F.div(2),F.sqrt)));
//--> 0.8660254037844386

View Full Code Here

Examples of cern.colt.matrix.DoubleMatrix1D.aggregate()

// Min( x[i] ) 
System.out.println(matrix.aggregate(F.min,F.identity));
//--> 0


// Max( Sqrt(x[i]) / 2 ) 
System.out.println(matrix.aggregate(F.max,F.chain(F.div(2),F.sqrt)));
//--> 0.8660254037844386


// Number of all cells with 0 <= value <= 2
System.out.println(matrix.aggregate(F.plus,F.between(0,2)));
//--> 3

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Examples of cern.colt.matrix.DoubleMatrix3D.aggregate()


DoubleMatrix3D x = cern.colt.matrix.DoubleFactory3D.dense.ascending(2,2,2);
System.out.println(x);


// Sum( x[slice,row,col]*x[slice,row,col] ) 
System.out.println(x.aggregate(F.plus,F.square));
//--> 140




DoubleMatrix3D y = x.copy();
// Sum( (x[i]+y[i])^2 )

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