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[SOLVED] Replace missing value with subgroup average

pyronaidpyronaid Member Posts: 4 Contributor I
edited November 2018 in Help
Hi to all,
I'm a new user with rapid miner.
I start to use some package and immediatly i'm blocked in a problem.

I want to replace some missing value with the average of the same attribute grouped with an other attribute. For example i have

hour - value 1 - value 2
1      -  10        - 20
2      -  15        - 25
3      -  32        - 8
1      -  12        - 18
2      -  10        - 29
3      -  27        - 11
1      -  5          - 24
2      -  14        - 20
3      -  10        - 3



1      -  ?        - ?
should became
1     -  (10+12+5)/3  - (20+18+24)/3

there's a way to do this thing??

thanks all

Answers

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,127  RM Data Scientist
    Hi,

    you can do this using a loop values, and then do the replacement for each group. Attached is an example process.

    Cheers,
    Martin

    <?xml version="1.0" encoding="UTF-8" standalone="no"?>
    <process version="6.4.000">
     <context>
       <input/>
       <output/>
       <macros/>
     </context>
     <operator activated="true" class="process" compatibility="6.4.000" expanded="true" name="Process">
       <process expanded="true">
         <operator activated="true" breakpoints="after" class="subprocess" compatibility="6.4.000" expanded="true" height="76" name="Generate Data (2)" width="90" x="45" y="75">
           <process expanded="true">
             <operator activated="true" class="generate_data" compatibility="6.4.000" expanded="true" height="60" name="Generate Data" width="90" x="179" y="75">
               <parameter key="number_examples" value="5"/>
               <parameter key="number_of_attributes" value="3"/>
             </operator>
             <operator activated="true" class="discretize_by_bins" compatibility="6.4.000" expanded="true" height="94" name="Discretize" width="90" x="313" y="75">
               <parameter key="attribute_filter_type" value="single"/>
               <parameter key="attribute" value="att1"/>
               <parameter key="range_name_type" value="short"/>
             </operator>
             <operator activated="true" class="set_data" compatibility="6.4.000" expanded="true" height="76" name="Set Data" width="90" x="447" y="75">
               <parameter key="example_index" value="2"/>
               <parameter key="attribute_name" value="att2"/>
               <parameter key="value" value="-1"/>
               <list key="additional_values"/>
             </operator>
             <operator activated="true" class="declare_missing_value" compatibility="6.4.000" expanded="true" height="76" name="Declare Missing Value" width="90" x="581" y="75">
               <parameter key="numeric_value" value="-1.0"/>
             </operator>
             <connect from_op="Generate Data" from_port="output" to_op="Discretize" to_port="example set input"/>
             <connect from_op="Discretize" from_port="example set output" to_op="Set Data" to_port="example set input"/>
             <connect from_op="Set Data" from_port="example set output" to_op="Declare Missing Value" to_port="example set input"/>
             <connect from_op="Declare Missing Value" from_port="example set output" to_port="out 1"/>
             <portSpacing port="source_in 1" spacing="0"/>
             <portSpacing port="sink_out 1" spacing="0"/>
             <portSpacing port="sink_out 2" spacing="0"/>
           </process>
           <description align="center" color="transparent" colored="false" width="126">Just generate an example set for demo purposes</description>
         </operator>
         <operator activated="true" class="loop_values" compatibility="6.4.000" expanded="true" height="94" name="Loop Values" width="90" x="313" y="75">
           <parameter key="attribute" value="att1"/>
           <process expanded="true">
             <operator activated="true" class="multiply" compatibility="6.4.000" expanded="true" height="94" name="Multiply" width="90" x="45" y="30"/>
             <operator activated="true" class="filter_examples" compatibility="6.4.000" expanded="true" height="94" name="Filter Examples" width="90" x="246" y="165">
               <list key="filters_list">
                 <parameter key="filters_entry_key" value="att1.equals.%{loop_value}"/>
               </list>
               <description align="center" color="transparent" colored="false" width="126">Filter for each range</description>
             </operator>
             <operator activated="true" class="replace_missing_values" compatibility="6.4.000" expanded="true" height="94" name="Replace Missing Values" width="90" x="380" y="165">
               <parameter key="attribute_filter_type" value="single"/>
               <parameter key="attribute" value="att2"/>
               <list key="columns"/>
               <description align="center" color="transparent" colored="false" width="126">Replace by Average</description>
             </operator>
             <connect from_port="example set" to_op="Multiply" to_port="input"/>
             <connect from_op="Multiply" from_port="output 1" to_port="out 1"/>
             <connect from_op="Multiply" from_port="output 2" to_op="Filter Examples" to_port="example set input"/>
             <connect from_op="Filter Examples" 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_port="out 2"/>
             <portSpacing port="source_example set" spacing="0"/>
             <portSpacing port="sink_out 1" spacing="0"/>
             <portSpacing port="sink_out 2" spacing="0"/>
             <portSpacing port="sink_out 3" spacing="0"/>
           </process>
         </operator>
         <operator activated="true" class="append" compatibility="6.4.000" expanded="true" height="76" name="Append" width="90" x="447" y="75"/>
         <connect from_op="Generate Data (2)" from_port="out 1" to_op="Loop Values" to_port="example set"/>
         <connect from_op="Loop Values" from_port="out 2" to_op="Append" to_port="example set 1"/>
         <connect from_op="Append" from_port="merged set" 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>
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • pyronaidpyronaid Member Posts: 4 Contributor I
    thanks a lot!!! you are great!!!! ;)
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