List of addValues() Examples

Examples of addValues()

ch.entwine.weblounge.common.impl.request.HeaderValueCollection.addValues()
Adds all values to the current list of header values. @param values the values to add
com.extjs.gxt.charts.client.model.charts.AreaChart.addValues()
com.extjs.gxt.charts.client.model.charts.BarChart.addValues()
Adds the values. @param values the values
com.extjs.gxt.charts.client.model.charts.CylinderBarChart.addValues()
com.extjs.gxt.charts.client.model.charts.FilledBarChart.addValues()
com.extjs.gxt.charts.client.model.charts.LineChart.addValues()
Adds the values. @param values the values
com.extjs.gxt.charts.client.model.charts.SketchBarChart.addValues()
com.github.neuralnetworks.calculation.ValuesProvider.addValues()
com.neuralnetwork.shared.layers.IInputLayer.addValues()
Add a list of values to this IInputLayer. @param values the list of values to be added.
com.neuralnetwork.shared.layers.InputLayer.addValues()
jofc2.model.elements.FilledBarChart.addValues()
ofc4j.model.elements.LineChart.addValues()
org.eclipse.jetty.util.MultiMap.addValues()
Add values to multi valued entry. If the entry is single valued, it is converted to the first value of a multi valued entry. @param name The entry key. @param values The List of multiple values.
org.glassfish.security.services.api.common.Attribute.addValues()
org.hibernate.sql.InFragment.addValues()
org.mortbay.util.MultiMap.addValues()
Add values to multi valued entry. If the entry is single valued, it is converted to the first value of a multi valued entry. @param name The entry key. @param values The List of multiple values.
org.s3b.search.query.QueryParameter.addValues()
org.s3b.search.query.impl.QueryParameterImpl.addValues()
org.springframework.jdbc.core.namedparam.MapSqlParameterSource.addValues()
Add a Map of parameters to this parameter source. @param values a Map holding existing parameter values (can be null) @return a reference to this parameter source,so it's possible to chain several calls together
org.sql.generation.api.grammar.builders.booleans.InBuilder.addValues()
org.sql.generation.api.grammar.builders.modification.ColumnSourceByValuesBuilder.addValues()

Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  connections.add(c2);
  connections.add(bc);


  vp = new ValuesProvider();
  vp.addValues(c1.getOutputLayer(), i1);
  vp.addValues(c2.getOutputLayer(), i2);
  vp.addValues(ol, o);


  aws = new AparapiWeightedSumConnectionCalculator();
  aws.calculate(connections, vp, ol);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  connections.add(bc);


  vp = new ValuesProvider();
  vp.addValues(c1.getOutputLayer(), i1);
  vp.addValues(c2.getOutputLayer(), i2);
  vp.addValues(ol, o);


  aws = new AparapiWeightedSumConnectionCalculator();
  aws.calculate(connections, vp, ol);


  assertEquals(28.1, o.get(0, 0), 0.01);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  Matrix i = new Matrix(new float [] {2, 2}, 1);
  Set<Layer> calculated = new HashSet<>();
  calculated.add(mlp.getInputLayer());


  ValuesProvider results = new ValuesProvider();
  results.addValues(input, i);


  Environment.getInstance().setExecutionMode(EXECUTION_MODE.SEQ);


  mlp.getLayerCalculator().calculate(mlp, output, calculated, results);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  c.getWeights()[15] = 4;


  Matrix i1 = new Matrix(new float[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 }, 1);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(nn.getInputLayer(), i1);


  Set<Layer> calculatedLayers = new HashSet<>();
  calculatedLayers.add(nn.getInputLayer());
  nn.getLayerCalculator().calculate(nn, nn.getOutputLayer(), calculatedLayers, vp);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()


  ConnectionCalculator calc = new AparapiMaxPooling2D();
  Matrix o = new Matrix(8, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(3, o.get(0, 0), 0);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  ConnectionCalculator calc = new AparapiMaxPooling2D();
  Matrix o = new Matrix(8, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(3, o.get(0, 0), 0);
  assertEquals(4, o.get(1, 0), 0);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()


  AparapiAveragePooling2D calc = new AparapiAveragePooling2D();
  Matrix o = new Matrix(8, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(1.75, o.get(0, 0), 0);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  AparapiAveragePooling2D calc = new AparapiAveragePooling2D();
  Matrix o = new Matrix(8, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(1.75, o.get(0, 0), 0);
  assertEquals(2.75, o.get(1, 0), 0);

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()

  connections.add(c);


  Matrix o = new Matrix(1, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  AparapiStochasticPooling2D calc = new AparapiStochasticPooling2D();
  calc.calculate(connections, vp, c.getOutputLayer());

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Examples of com.github.neuralnetworks.calculation.ValuesProvider.addValues()


  Matrix o = new Matrix(1, 2);


  ValuesProvider vp = new ValuesProvider();
  vp.addValues(c.getInputLayer(), i1);
  vp.addValues(c.getOutputLayer(), o);


  AparapiStochasticPooling2D calc = new AparapiStochasticPooling2D();
  calc.calculate(connections, vp, c.getOutputLayer());


  assertEquals(2.08, o.get(0, 0), 0.01);

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