Question

我试图从Weka Rapidminer插件中实现W-Multilayer Perceptron。当我在我的数据集中运行它时，需要大约1.5小时才能完成一个简单的5层感知器训练。

然而，虽然当我将Perceptron放在验证操作符上时它似乎正常工作，但它会在验证阶段停滞不前，消耗越来越多的内存。我让它在夜间运行，它已经存在了15个小时。对我而言没有意义，因为在创建模式之后，应用它不应该花费太多时间。知道这种运作方式的人是否可以告诉我发生了什么？

我使用运算符的方式如下，在我的方案中，它直接连接到一个read数据库运算符，它们之间只有set role运算符。

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="split_validation" compatibility="5.3.008" expanded="true" height="112" name="Validation (6)" width="90" x="45" y="120">
        <process expanded="true">
          <operator activated="true" breakpoints="after" class="weka:W-MultilayerPerceptron" compatibility="5.3.001" expanded="true" height="76" name="W-MultilayerPerceptron" width="90" x="69" y="30">
            <parameter key="N" value="100.0"/>
            <parameter key="S" value="30.0"/>
            <parameter key="H" value="5"/>
          </operator>
          <connect from_port="training" to_op="W-MultilayerPerceptron" to_port="training set"/>
          <connect from_op="W-MultilayerPerceptron" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true">
          <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model (6)" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.3.008" expanded="true" height="76" name="Performance (6)" width="90" x="147" y="30"/>
          <connect from_port="model" to_op="Apply Model (6)" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model (6)" to_port="unlabelled data"/>
          <connect from_op="Apply Model (6)" from_port="labelled data" to_op="Performance (6)" to_port="labelled data"/>
          <connect from_op="Performance (6)" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
    </process>
  </operator>
</process>

在Rapidminer中验证Weka多层感知器

0 个答案: