List of function() Examples

Examples of function()

com.github.dactiv.showcase.common.annotation.OperatingAudit.function()
com.google.gwt.dev.javac.JsniMethod.function()
If non-null, an anonymous function containing the parameters and body of this JSNI method.
de.lmu.ifi.dbs.elki.data.ParameterizationFunction.function()
Computes the function value at alpha. @param alpha the values of the d-1 angles @return the function value at alpha
javax.persistence.criteria.CriteriaBuilder.function()
Create an expression for the execution of a database function. @param name function name @param type expected result type @param args function arguments @return expression
kodkod.ast.Relation.function()
Returns a formula stating that this relation is a total function with the specified domain and range. @return {f: Formula | f <=> this in domain->range && all v: domain | one v.this } @throws NullPointerException - domain = null || range = null @throws IllegalArgumentException - domain.arity != 1 || range.arity != 1 @throws IllegalArgumentException - this.arity != 2
org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble.function()
Determine how much the current neuron should be affected by training based on its proximity to the winning neuron. @param currentNeuron THe current neuron being evaluated. @param bestNeuron The winning neuron. @return The ratio for this neuron's adjustment.
org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D.function()
Determine how much the current neuron should be affected by training based on its proximity to the winning neuron. @param currentNeuron THe current neuron being evaluated. @param bestNeuron The winning neuron. @return The ratio for this neuron's adjustment.
org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle.function()
Determine how much the current neuron should be affected by training based on its proximity to the winning neuron. @param currentNeuron THe current neuron being evaluated. @param bestNeuron The winning neuron. @return The ratio for this neuron's adjustment.
org.geotools.filter.FilterFactoryImpl.function()
org.geotools.filter.FunctionFactory.function()
Returns a function with the specified name. @param name The name of the function @param args Variable list of expression arguments for the function. @param fallback A fallback literal to use in cases where the function does not exist or can not be created. This argument may be {@code null}.
org.hisrc.jscm.codemodel.JSCodeModel.function()
org.hisrc.jscm.codemodel.impl.CodeModelImpl.function()
org.opengis.filter.FilterFactory.function()
Call into some implementation-specific function.
org.opengis.filter.FilterFactory2.function()
org.rstudio.studio.client.common.icons.code.CodeIcons.function()
org.sonar.server.debt.DebtModelXMLExporter.RuleDebt.function()
org.springmodules.validation.valang.parser.ValangParser.function()
org.vimplugin.VimConnection.function()
Sends a function (reply with a String as return value) as specified by the netbeans-protocol to the vim instance. @param bufID the vim buffer that is adressed @param name the "name" of the command @param param possible parameters @return the return value of the (vim)function or null if the function was"saveAndExit".

Examples of de.lmu.ifi.dbs.elki.data.ParameterizationFunction.function()

    double d_min = Double.POSITIVE_INFINITY;
    double d_max = Double.NEGATIVE_INFINITY;
    for(DBID id : relation.iterDBIDs()) {
      ParameterizationFunction f = relation.get(id);
      HyperBoundingBox minMax = f.determineAlphaMinMax(box);
      double f_min = f.function(SpatialUtil.getMin(minMax));
      double f_max = f.function(SpatialUtil.getMax(minMax));


      d_min = Math.min(d_min, f_min);
      d_max = Math.max(d_max, f_max);
    }

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Examples of de.lmu.ifi.dbs.elki.data.ParameterizationFunction.function()

    double d_max = Double.NEGATIVE_INFINITY;
    for(DBID id : relation.iterDBIDs()) {
      ParameterizationFunction f = relation.get(id);
      HyperBoundingBox minMax = f.determineAlphaMinMax(box);
      double f_min = f.function(SpatialUtil.getMin(minMax));
      double f_max = f.function(SpatialUtil.getMax(minMax));


      d_min = Math.min(d_min, f_min);
      d_max = Math.max(d_max, f_max);
    }
    return new double[] { d_min, d_max };

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Examples of javax.persistence.criteria.CriteriaBuilder.function()

        if (direction == Direction.ASC) {
          orderList.add(cb.asc(path));
        } else if (direction == Direction.DESC) {
          orderList.add(cb.desc(path));
        } else if (direction == Direction.ASC_TRUNC) {
          orderList.add(cb.asc(cb.function("trunc", Path.class, path)));
        } else if (direction == Direction.DESC_TRUNC) {
          orderList.add(cb.desc(cb.function("trunc", Path.class, path)));
        }
      }
      cq.orderBy(orderList);

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Examples of javax.persistence.criteria.CriteriaBuilder.function()

        } else if (direction == Direction.DESC) {
          orderList.add(cb.desc(path));
        } else if (direction == Direction.ASC_TRUNC) {
          orderList.add(cb.asc(cb.function("trunc", Path.class, path)));
        } else if (direction == Direction.DESC_TRUNC) {
          orderList.add(cb.desc(cb.function("trunc", Path.class, path)));
        }
      }
      cq.orderBy(orderList);
    }

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Examples of kodkod.ast.Relation.function()

      final RelationPredicate.Function fp = (RelationPredicate.Function) pred;
      final Expression domain = fp.domain().accept(this);
      final Expression range = fp.range().accept(this);
      ret = (r==fp.relation() && domain==fp.domain() && range==fp.range()) ?
          fp : 
          (fp.targetMult()==Multiplicity.ONE ? r.function(domain, range) : r.partialFunction(domain,range));
      break;
    case TOTAL_ORDERING : 
      final RelationPredicate.TotalOrdering tp = (RelationPredicate.TotalOrdering) pred;
      final Relation ordered = (Relation) tp.ordered().accept(this);
      final Relation first = (Relation)tp.first().accept(this);

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble.function()

public class TestNeighborhood extends TestCase {
  
  public void testBubble() throws Throwable
  {
    NeighborhoodBubble bubble = new NeighborhoodBubble(2);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 4),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
  }
  
  public void testSingle() throws Throwable {

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble.function()

  
  public void testBubble() throws Throwable
  {
    NeighborhoodBubble bubble = new NeighborhoodBubble(2);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 4),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
  }
  
  public void testSingle() throws Throwable {
    NeighborhoodSingle bubble = new NeighborhoodSingle();

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble.function()

  public void testBubble() throws Throwable
  {
    NeighborhoodBubble bubble = new NeighborhoodBubble(2);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 4),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
  }
  
  public void testSingle() throws Throwable {
    NeighborhoodSingle bubble = new NeighborhoodSingle();
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D.function()

  }
  
  public void testGaussian() throws Throwable {
    RadialBasisFunction radial = new GaussianFunction(0.0,1.0,1.0);
    NeighborhoodRBF1D bubble = new NeighborhoodRBF1D(radial);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
    Assert.assertEquals(0.6, bubble.function(5, 4),0.1);
  }


}

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D.function()

  
  public void testGaussian() throws Throwable {
    RadialBasisFunction radial = new GaussianFunction(0.0,1.0,1.0);
    NeighborhoodRBF1D bubble = new NeighborhoodRBF1D(radial);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
    Assert.assertEquals(0.6, bubble.function(5, 4),0.1);
  }


}

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