List of compute() Examples

Examples of compute()

br.com.objectos.way.base.ModuloCheckDigit.Computation.compute()
com.alibaba.simpleimage.jai.scale.LanczosScaleOp.compute()
com.google.test.metric.MetricComputer.compute()
com.mojang.minecraft.level.generator.noise.CombinedNoise.compute()
com.mojang.minecraft.level.generator.noise.OctaveNoise.compute()
com.neuralnetwork.shared.training.BackpropAlgorithm.compute()
Compute MSE. @return the mean squared error of the network.
com.tinkerpop.gremlin.giraph.structure.GiraphGraph.compute()
cpw.mods.fml.repackage.com.nothome.delta.Delta.compute()
Compares the source bytes with target bytes, writing to output.
gov.nara.nwts.ftapp.stats.Stats.compute()
gov.nist.microanalysis.EPQLibrary.ElectronRange.compute()
gov.nist.microanalysis.EPQLibrary.FluorescenceYield.compute()
gov.nist.microanalysis.EPQLibrary.MassAbsorptionCoefficient.compute()
hu.u_szeged.nbo.server.NBOServerIF.compute()
kiss.lang.Expression.compute()
Compute the effect of this expression, returning a new Environment @param bindings TODO
name.abuchen.portfolio.math.NPVFunction.compute()
name.abuchen.portfolio.math.PseudoDerivativeFunction.compute()
org.apache.commons.math3.ml.distance.DistanceMeasure.compute()
Compute the distance between two n-dimensional vectors.
The two vectors are required to have the same dimension. @param a the first vector @param b the second vector @return the distance between the two vectors
org.apache.commons.math3.ml.distance.EuclideanDistance.compute()
{@inheritDoc}
org.apache.lucene.facet.search.FacetResultsHandler.compute()
Computes the {@link FacetResult} for the given {@link FacetArrays}.
org.apache.mahout.clustering.GaussianAccumulator.compute()
Compute the mean, variance and standard deviation
org.apache.mahout.clustering.OnlineGaussianAccumulator.compute()
org.carrot2.matrix.factorization.KMeansMatrixFactorization.compute()
org.data2semantics.exp.old.kernels.RDFWLSubTreeKernelString.compute()
org.data2semantics.proppred.kernels.graphkernels.FeatureVectorKernel.compute()
org.data2semantics.proppred.kernels.graphkernels.GraphKernel.compute()
org.data2semantics.proppred.kernels.graphkernels.WLSubTreeKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFFeatureVectorKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFGraphKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionPartialSubTreeKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionSubTreeKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionTreeEdgeVertexPathKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionTreeEdgeVertexPathWithTextKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFPairKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFWLSubTreeKernel.compute()
org.data2semantics.proppred.kernels.rdfgraphkernels.RDFWLSubTreeWithTextKernel.compute()
org.eclipse.jgit.diff.RenameDetector.compute()
Detect renames in the current file set.
This convenience function runs without a progress monitor. @return an unmodifiable list of {@link DiffEntry}s representing all files that have been changed. @throws IOException file contents cannot be read from the repository.
org.ejml.alg.dense.misc.DeterminantFromMinor.compute()
Computes the determinant for the specified matrix. It must be square and have the same width and height as what was specified in the constructor. @param mat The matrix whose determinant is to be computed. @return The determinant.
org.encog.mathutil.matrices.hessian.HessianCR.compute()
{@inheritDoc}
org.encog.mathutil.matrices.hessian.HessianFD.compute()
{@inheritDoc}
org.encog.ml.fitting.gaussian.GaussianFitting.compute()
org.encog.ml.prg.EncogProgram.compute()
Compute the output from the input MLData. The individual values of the input will be mapped to the variables defined in the context. The order is the same between the input and the defined variables. The input will be mapped to the appropriate types. Enums will use their ordinal number. The result will be a single number MLData. @param input The input to the program. @return A single numer MLData.
org.encog.neural.art.ART1.compute()
Compute the output from the ART1 network. This can be called directly or used by the BasicNetwork class. Both input and output should be bipolar numbers. @param input The input to the network. @param output The output from the network.
org.encog.neural.flat.FlatNetwork.compute()
Calculate the output for the given input. @param input The input. @param output Output will be placed here.
org.encog.neural.neat.NEATNetwork.compute()
Compute the output from this synapse. @param input The input to this synapse. @return The output from this synapse.
org.encog.neural.networks.BasicNetwork.compute()
Compute the output for this network. @param input The input. @param output The output.
org.encog.neural.rbf.RBFNetwork.compute()
{@inheritDoc}
org.gephi.algorithms.shortestpath.AbstractShortestPathAlgorithm.compute()
org.graphstream.algorithm.ConnectedComponents.compute()
org.graphstream.algorithm.measure.ClosenessCentrality.compute()
org.graphstream.ui.layout.springbox.implementations.LinLog.compute()
org.graphstream.ui.layout.springbox.implementations.SpringBox.compute()
org.jquantlib.samples.util.ReplicationError.compute()
org.mindswap.pellet.utils.SizeEstimate.compute()
org.pentaho.reporting.engine.classic.core.layout.process.ComputeStaticPropertiesProcessStep.compute()
org.pentaho.reporting.engine.classic.core.layout.process.ParagraphLineBreakStep.compute()
org.pentaho.reporting.engine.classic.core.modules.output.fast.template.SheetPropertyCollector.compute()
org.pentaho.reporting.engine.classic.core.modules.output.fast.xls.FastExcelTextExtractor.compute()
org.pentaho.reporting.engine.classic.core.modules.output.table.base.TableContentProducer.compute()
org.pentaho.reporting.engine.classic.core.modules.output.table.xls.helper.ExcelTextExtractor.compute()
play.mvc.Router.Route.compute()
randomevents.generator.Statistical.compute()
statechum.analysis.learning.linear.GDLearnerGraph.DetermineDiagonalAndRightHandSide.compute()
statechum.analysis.learning.rpnicore.GDLearnerGraph.DetermineDiagonalAndRightHandSide.compute()
statechum.analysis.learning.rpnicore.Linear.DetermineDiagonalAndRightHandSide.compute()
testPackage.Sum.compute()
test_files.Sum.compute()
tv.floe.metronome.classification.neuralnetworks.learning.adagrad.AdagradLearningRate.compute()
eta == gamma / Math.sqrt( this.squaredGradientSum ) @return
vash.operation.ColorNode.compute()
vash.operation.RGB_Space.compute()

Examples of org.jquantlib.samples.util.ReplicationError.compute()


      final int scenarios = 50000;
      int hedgesNum;


      hedgesNum = 21;
      rp.compute(hedgesNum, scenarios);


      hedgesNum = 84;
      rp.compute(hedgesNum, scenarios);


      clock.stopClock();

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Examples of org.jquantlib.samples.util.ReplicationError.compute()


      hedgesNum = 21;
      rp.compute(hedgesNum, scenarios);


      hedgesNum = 84;
      rp.compute(hedgesNum, scenarios);


      clock.stopClock();
      clock.log();
    }

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Examples of org.mindswap.pellet.utils.SizeEstimate.compute()

          }
        }
      }
    }


    sizeEstimate.compute(concepts, properties);
  }
}

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Examples of org.pentaho.reporting.engine.classic.core.layout.process.ComputeStaticPropertiesProcessStep.compute()

    new TableValidationStep().validate(pageBox);
    new ParagraphLineBreakStep().compute(pageBox);
    
    final ComputeStaticPropertiesProcessStep computeStaticPropertiesProcessStep = new ComputeStaticPropertiesProcessStep();
    computeStaticPropertiesProcessStep.initialize(processingContext.getOutputProcessorMetaData(), processingContext);
    computeStaticPropertiesProcessStep.compute(pageBox);


    //ModelPrinter.print(pageBox);
  }


}

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Examples of org.pentaho.reporting.engine.classic.core.layout.process.ParagraphLineBreakStep.compute()

    assertTrue(second instanceof ParagraphRenderBox);
    ParagraphRenderBox p = (ParagraphRenderBox) second;
    assertTrue(p.getPool().getFirstChild().getNext() instanceof RenderableReplacedContentBox);


    ParagraphLineBreakStep step = new ParagraphLineBreakStep();
    step.compute(logicalPageBox);


    RenderNode[] elementsByNodeType = MatchFactory.findElementsByNodeType(p, LayoutNodeTypes.TYPE_NODE_COMPLEX_TEXT);
    assertContainsImage(elementsByNodeType);
    RenderableComplexText t = (RenderableComplexText) elementsByNodeType[0];
    AttributedString attributedString = t.getRichText().getAttributedString();

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Examples of org.pentaho.reporting.engine.classic.core.layout.process.ParagraphLineBreakStep.compute()

      throws ReportProcessingException, ContentProcessingException
  {
    final LogicalPageBox logicalPageBox = DebugReportRunner.layoutSingleBand(new MasterReport(), b);


    final ParagraphLineBreakStep step = new ParagraphLineBreakStep();
    step.compute(logicalPageBox);
    System.out.println();
  }
}

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Examples of org.pentaho.reporting.engine.classic.core.modules.output.fast.template.SheetPropertyCollector.compute()

  }


  public void startSection(final Band band)
  {
    SheetPropertyCollector collector = new SheetPropertyCollector();
    sheetName = collector.compute(band);




  }


  public void endSection(final Band band,

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Examples of org.pentaho.reporting.engine.classic.core.modules.output.fast.template.SheetPropertyCollector.compute()

    }


    if (sheet == null)
    {
      SheetPropertyCollector collector = new SheetPropertyCollector();
      String sheetName = collector.compute(band);
      sheet = openSheet(sheetName);
      configureSheetColumnWidths(sheet, sheetLayout, sheetLayout.getColumnCount());
      configureSheetPaperSize(sheet, new PhysicalPageBox(pageDefinition.getPageFormat(0), 0, 0));
      configureSheetProperties(sheet, collector);
    }

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Examples of org.pentaho.reporting.engine.classic.core.modules.output.fast.xls.FastExcelTextExtractor.compute()

    ExcelFontFactory ff = new ExcelFontFactory(hssfWorkbook, colorProducer);
    CreationHelper ch = hssfWorkbook.getCreationHelper();
    FastExcelTextExtractor te = new FastExcelTextExtractor(colorProducer, ff, ch);


    Element element = report.getReportHeader().getElement(0);
    Object compute = te.compute(element, runtime);
    assertTrue(compute instanceof RichTextString);
    XSSFRichTextString rt = (XSSFRichTextString) compute;
    assertEquals(4, rt.numFormattingRuns());
  }

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Examples of org.pentaho.reporting.engine.classic.core.modules.output.table.base.TableContentProducer.compute()

  {
    final TableLayoutProducer tableLayoutProducer = new TableLayoutProducer(metaData);
    tableLayoutProducer.update(logicalPage, false);
    final SheetLayout layout = tableLayoutProducer.getLayout();
    final TableContentProducer tcp = new TableContentProducer(layout, metaData);
    tcp.compute(logicalPage, false);
    try
    {
      // then add it to the layout-producer ..
      resultTable.validate(logicalPage, layout, tcp);
    }

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