Altair RISE
A program to recognize and reward our most engaged community members
Nominate Yourself Now!
Home
Discussions
Community Q&A
re-use of previous calculation (intermediate result)
Legacy User
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
Find more posts tagged with
AI Studio
Accepted answers
All comments
Legacy User
Hello,
... or is it possible / how is it possible to save the best feature combination (for each generation) in a separate file ?
Best Regards
Volker
IngoRM
Hi Volker,
both requests are only possible for the evolutionary feature selection and weighting schemes. There are parameters for "intermediate" weights savings as well as initilizing the operator by input weights. But this is not possible for the greedy feature selection heuristics.
Cheers,
Ingo
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups