いくつかのループを利用する RapidMiner 内のプロセス フローを作成しました。このプロセスで得られたモデル パラメータを新しいプロセスに保存するために、Store Model オペレータをどこに接続すればよいか正確にはわかりません。
添付の例では、私のデータがいくつかのサンプル データに置き換えられていますが、残りのプロセスは実際のデータ セットに対して私が持っているものです。
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.012">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.012" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.012" expanded="true" height="60" name="Retrieve Sonar" width="90" x="45" y="30">
<parameter key="repository_entry" value="//Samples/data/Sonar"/>
</operator>
<operator activated="true" class="numerical_to_binominal" compatibility="5.3.012" expanded="true" height="76" name="Numerical to Binominal" width="90" x="179" y="30">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="20_OV_COVER"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.012" expanded="true" height="76" name="Set Role" width="90" x="45" y="120">
<parameter key="attribute_name" value="class"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="normalize" compatibility="5.3.012" expanded="true" height="94" name="Normalize" width="90" x="179" y="120"/>
<operator activated="true" class="nominal_to_numerical" compatibility="5.3.012" expanded="true" height="94" name="Nominal to Numerical (2)" width="90" x="45" y="210">
<list key="comparison_groups"/>
</operator>
<operator activated="true" class="replace_missing_values" compatibility="5.3.012" expanded="true" height="94" name="Replace Missing Values" width="90" x="179" y="210">
<list key="columns"/>
</operator>
<operator activated="true" class="independent_component_analysis" compatibility="5.3.012" expanded="true" height="94" name="ICA" width="90" x="313" y="210">
<parameter key="number_of_components" value="700"/>
</operator>
<operator activated="true" class="optimize_selection_forward" compatibility="5.3.012" expanded="true" height="94" name="Forward Selection" width="90" x="514" y="75">
<parameter key="maximal_number_of_attributes" value="100"/>
<parameter key="speculative_rounds" value="10"/>
<process expanded="true">
<operator activated="true" class="x_validation" compatibility="5.3.012" expanded="true" height="112" name="Validation" width="90" x="112" y="30">
<parameter key="number_of_validations" value="5"/>
<process expanded="true">
<operator activated="true" class="naive_bayes" compatibility="5.3.012" expanded="true" height="76" name="Naive Bayes" width="90" x="112" y="30"/>
<connect from_port="training" to_op="Naive Bayes" to_port="training set"/>
<connect from_op="Naive Bayes" 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="5.3.012" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="5.3.012" expanded="true" height="76" name="Performance" width="90" x="276" y="30"/>
<connect from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" 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>
<connect from_port="example set" to_op="Validation" to_port="training"/>
<connect from_op="Validation" from_port="averagable 1" to_port="performance"/>
<portSpacing port="source_example set" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve Sonar" from_port="output" to_op="Numerical to Binominal" to_port="example set input"/>
<connect from_op="Numerical to Binominal" from_port="example set output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Normalize" to_port="example set input"/>
<connect from_op="Normalize" from_port="example set output" to_op="Nominal to Numerical (2)" to_port="example set input"/>
<connect from_op="Nominal to Numerical (2)" from_port="example set output" to_op="Replace Missing Values" to_port="example set input"/>
<connect from_op="Replace Missing Values" from_port="example set output" to_op="ICA" to_port="example set input"/>
<connect from_op="ICA" from_port="example set output" to_op="Forward Selection" to_port="example set"/>
<connect from_op="ICA" from_port="original" to_port="result 1"/>
<connect from_op="ICA" from_port="preprocessing model" to_port="result 2"/>
<connect from_op="Forward Selection" from_port="example set" to_port="result 3"/>
<connect from_op="Forward Selection" from_port="attribute weights" to_port="result 4"/>
<connect from_op="Forward Selection" from_port="performance" to_port="result 5"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="18"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
<portSpacing port="sink_result 4" spacing="0"/>
<portSpacing port="sink_result 5" spacing="0"/>
<portSpacing port="sink_result 6" spacing="0"/>
</process>
</operator>
</process>