re-use of previous calculation (intermediate result)

Hello,

in my model I would like to iterate through the maximum number of generations. Does rapidminer re-use the  results from the previous step in order to save calculation time? I mean after finishing the calculation with only one feature (and saving this result to file, or something similar) it can directly continue to add the next attributes to the best n-features and continue instead of starting again from 1 for the next iteration ...


<operator name="Root" class="Process" expanded="yes">
    <parameter key="logfile" value="logfile.log"/>
    <parameter key="resultfile" value="result.res"/>
    <operator name="ExcelExampleSource" class="ExcelExampleSource">
        <parameter key="excel_file" value="Data.xls"/>
        <parameter key="first_row_as_names" value="true"/>
        <parameter key="create_label" value="true"/>
    </operator>
    <operator name="ParameterIteration" class="ParameterIteration" expanded="yes">
        <list key="parameters">
          <parameter key="FeatureSelection.maximum_number_of_generations" value="1,2,3,4"/>
        </list>
        <operator name="FeatureSelection" class="FeatureSelection" expanded="yes">
            <parameter key="show_population_plotter" value="true"/>
            <parameter key="plot_generations" value="1"/>
            <parameter key="keep_best" value="10"/>
            <parameter key="maximum_number_of_generations" value="3"/>
            <operator name="LinearRegression" class="LinearRegression">
                <parameter key="keep_example_set" value="true"/>
                <parameter key="feature_selection" value="none"/>
            </operator>
            <operator name="ModelApplier" class="ModelApplier">
                <parameter key="keep_model" value="true"/>
                <list key="application_parameters">
                </list>
                <parameter key="create_view" value="true"/>
            </operator>
            <operator name="RegressionPerformance" class="RegressionPerformance">
                <parameter key="keep_example_set" value="true"/>
                <parameter key="main_criterion" value="squared_correlation"/>
                <parameter key="correlation" value="true"/>
                <parameter key="squared_correlation" value="true"/>
                <parameter key="skip_undefined_labels" value="false"/>
                <parameter key="use_example_weights" value="false"/>
            </operator>
        </operator>
    </operator>
</operator>

Thanks and Best Regards

Volker