The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

"Macro variable to indicate generation?"

keithkeith Member Posts: 157 Maven
edited May 2019 in Help
When using EvolutionaryWeighting, I am using the option to write the intermediate best weights to a file each generation.  I'd like to keep track of how the best weights change throughout the process by writing each intermediate file to a different file name.  Is it possible to use a macro variable in the filename something like:  intermed_weights_%{generation}.wgt  to accomplish this? 

Tagged:

Answers

  • IngoRMIngoRM Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Hi Keith,

    yes, this is possible - although with a little effort by using the process log for accessing the generation. Here we go:

    <operator name="Root" class="Process" expanded="yes">
        <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
            <parameter key="target_function" value="sum"/>
        </operator>
        <operator name="EvolutionaryWeighting" class="EvolutionaryWeighting" expanded="yes">
            <parameter key="population_size" value="1"/>
            <parameter key="maximum_number_of_generations" value="100"/>
            <parameter key="save_intermediate_weights" value="true"/>
            <parameter key="intermediate_weights_file" value="intermed_weights_%{generation}.wgt"/>
            <operator name="StoreCurrentGenerationInMacro" class="OperatorChain" expanded="yes">
                <operator name="ProcessLog" class="ProcessLog">
                    <list key="log">
                      <parameter key="generation" value="operator.EvolutionaryWeighting.value.generation"/>
                    </list>
                </operator>
                <operator name="ProcessLog2ExampleSet" class="ProcessLog2ExampleSet">
                    <parameter key="log_name" value="ProcessLog"/>
                </operator>
                <operator name="DataMacroDefinition" class="DataMacroDefinition">
                    <parameter key="macro" value="generation"/>
                    <parameter key="macro_type" value="data_value"/>
                    <parameter key="attribute_name" value="generation"/>
                    <parameter key="example_index" value="1"/>
                </operator>
                <operator name="ClearProcessLog" class="ClearProcessLog">
                    <parameter key="log_name" value="ProcessLog"/>
                    <parameter key="delete_table" value="true"/>
                </operator>
                <operator name="IOConsumer" class="IOConsumer">
                    <parameter key="io_object" value="ExampleSet"/>
                    <parameter key="deletion_type" value="delete_one"/>
                </operator>
            </operator>
            <operator name="XValidation" class="XValidation" expanded="no">
                <parameter key="sampling_type" value="shuffled sampling"/>
                <operator name="NearestNeighbors" class="NearestNeighbors">
                    <parameter key="k" value="3"/>
                </operator>
                <operator name="OperatorChain" class="OperatorChain" expanded="yes">
                    <operator name="ModelApplier" class="ModelApplier">
                        <list key="application_parameters">
                        </list>
                    </operator>
                    <operator name="Performance" class="Performance">
                    </operator>
                </operator>
            </operator>
        </operator>
    </operator>

    I really like the macro stuff in combination with the ProcessLog since you can do really nice things with this  8)

    Cheers,
    Ingo
Sign In or Register to comment.