Branching on Prediction
cliftonarms
New Altair Community Member
I cannot seem to solve this design problem with the standard set of Rapidminer Processes and wonder if there is anyone more creative out there
The problem : I have a single binominal classification prediction example that I pass through Apply Model. I now need Rapidminer to select an external script depending on the prediction. I have tried the branch operator on the results from apply model then the external program process , but no success.
Anyone have any ideas - as I am a bit stuck.
The problem : I have a single binominal classification prediction example that I pass through Apply Model. I now need Rapidminer to select an external script depending on the prediction. I have tried the branch operator on the results from apply model then the external program process , but no success.
Anyone have any ideas - as I am a bit stuck.
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Answers
-
Hi,
you can use the branch operator for this purpose:
Best,
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.006">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.006" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="5.3.006" expanded="true" height="60" name="Retrieve Golf" width="90" x="112" y="120">
<parameter key="repository_entry" value="//Samples/data/Golf"/>
</operator>
<operator activated="true" class="naive_bayes" compatibility="5.3.006" expanded="true" height="76" name="Naive Bayes" width="90" x="246" y="120"/>
<operator activated="true" class="sample_stratified" compatibility="5.3.006" expanded="true" height="76" name="Sample (Stratified)" width="90" x="313" y="255">
<parameter key="sample_size" value="1"/>
</operator>
<operator activated="true" class="apply_model" compatibility="5.3.006" expanded="true" height="76" name="Apply Model" width="90" x="514" y="210">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="branch" compatibility="5.3.006" expanded="true" height="76" name="Branch" width="90" x="715" y="210">
<parameter key="condition_type" value="attribute_value_filter"/>
<parameter key="condition_value" value="prediction(Play)=yes"/>
<process expanded="true">
<operator activated="true" class="print_to_console" compatibility="5.3.006" expanded="true" height="76" name="Print to Console" width="90" x="179" y="30">
<parameter key="log_value" value="Yes!"/>
</operator>
<connect from_port="condition" to_op="Print to Console" to_port="through 1"/>
<connect from_op="Print to Console" from_port="through 1" to_port="input 1"/>
<portSpacing port="source_condition" spacing="0"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_input 1" spacing="0"/>
<portSpacing port="sink_input 2" spacing="0"/>
</process>
<process expanded="true">
<operator activated="true" class="print_to_console" compatibility="5.3.006" expanded="true" height="76" name="Print to Console (2)" width="90" x="179" y="30">
<parameter key="log_value" value="No!"/>
</operator>
<connect from_port="condition" to_op="Print to Console (2)" to_port="through 1"/>
<connect from_op="Print to Console (2)" from_port="through 1" to_port="input 1"/>
<portSpacing port="source_condition" spacing="0"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_input 1" spacing="0"/>
<portSpacing port="sink_input 2" spacing="0"/>
</process>
</operator>
<connect from_op="Retrieve Golf" from_port="output" to_op="Naive Bayes" to_port="training set"/>
<connect from_op="Naive Bayes" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Naive Bayes" from_port="exampleSet" to_op="Sample (Stratified)" to_port="example set input"/>
<connect from_op="Sample (Stratified)" from_port="example set output" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Branch" to_port="condition"/>
<connect from_op="Branch" from_port="input 1" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
Nils0 -
100% perfect - thank you
I like Rapidminer more and more each day...Thanks team.0