Examples of buildFromConf()

Examples of tv.floe.metronome.classification.neuralnetworks.core.NeuralNetwork.buildFromConf()

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    c.parse(null);
   
    NeuralNetwork nn = new MultiLayerPerceptronNetwork();
   
    try {
      nn.buildFromConf(c);
    } catch (Exception e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
   
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Examples of tv.floe.metronome.classification.neuralnetworks.core.NeuralNetwork.buildFromConf()

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    c.parse(null);
   
    NeuralNetwork nn = new MultiLayerPerceptronNetwork();
   
    try {
      nn.buildFromConf(c);
    } catch (Exception e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
    /*
 
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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//    int[] neurons = { 2, 3, 1 };
//    c.setLayerNeuronCounts( neurons );
   
    mlp_network.buildFromConf(c);   
   
    return mlp_network;
  }
 
  @Test
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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    Config c = new Config();
    c.parse(null); // default layer: 2-3-2
   
    MultiLayerPerceptronNetwork mlp_network = new MultiLayerPerceptronNetwork();
   
    mlp_network.buildFromConf(c);
   

    mlp_network.setInputVector(vec);
   
    //mlp_network.
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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//    mlp_network.setInputVector(vec);
   
    int[] neurons = { 2, 3, 1 };
    c.setLayerNeuronCounts( neurons );
   
    mlp_network.buildFromConf(c);
       
   
    for ( int x = 0; x < 40000; x++ ) {
     
     
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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//    int[] neurons = { 2, 3, 1 };
//    c.setLayerNeuronCounts( neurons );
   
    mlp_network.buildFromConf(c);   
   
    return mlp_network;
  }   
 
 
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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//    int[] neurons = { 2, 3, 1 };
//    c.setLayerNeuronCounts( neurons );
   
    mlp_network.buildFromConf(c);   
   
    return mlp_network;
  } 
 
 
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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    c.parse(null);
   
    NeuralNetwork nn = new MultiLayerPerceptronNetwork();
   
    try {
      nn.buildFromConf(c);
    } catch (Exception e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
   
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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    c.parse(null);
   
    NeuralNetwork nn = new MultiLayerPerceptronNetwork();
   
    try {
      nn.buildFromConf(c);
    } catch (Exception e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
    /*
 
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Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.buildFromConf()

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      if (c.getConfValue("networkType").equals(NetworkType.MULTI_LAYER_PERCEPTRON)) {
       
        MultiLayerPerceptronNetwork mlp_network = new MultiLayerPerceptronNetwork();
               
        mlp_network.buildFromConf(c);   
       
        return mlp_network;
       
      } else {
       
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