Problem with loop modelling output saving

sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru
edited December 2018 inHelp

Hi

I have a Data set with Client ID | Order ID | Quantity | Price, what I want to do is a regression per client ID like Quantity = Beta + alpha*Price and save the output in a collection, I got to the collection but it keeps printing the same value over and over again, also I would like to append the Client ID to their respective model but I dont know how, could someone help me please?

Thanks

Attached: Sample data and process


< context>




< = " t运营商激活rue" class="process" compatibility="9.0.002" expanded="true" name="Process">

< = " t运营商激活rue" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Retrieve pedidos_con_cliente_importe" width="90" x="45" y="340">


< = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (5)" width="90" x="179" y="340">



< = " t运营商激活rue" class="set_role" compatibility="9.0.002" expanded="true" height="82" name="Set Role" width="90" x="313" y="340">




< = " t运营商激活rue" class="remove_duplicates" compatibility="9.0.002" expanded="true" height="103" name="Remove Duplicates" width="90" x="447" y="340">



< = " t运营商激活rue" class="concurrency:loop_values" compatibility="9.0.002" expanded="true" height="82" name="Loop Values" width="90" x="581" y="340">


< = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (6)" width="90" x="112" y="34">



< = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression" width="90" x="246" y="34">



< connect from_port="input 1" to_op="Select Attributes (6)" to_port="example set input"/>
< connect from_op="Select Attributes (6)" from_port="example set output" to_op="Linear Regression" to_port="training set"/>
< connect from_op="Linear Regression" from_port="model" to_port="output 1"/>






< = " t运营商激活rue" class="collect" compatibility="9.0.002" expanded="true" height="82" name="Collect" width="90" x="715" y="340"/>
< connect from_op="Retrieve pedidos_con_cliente_importe" from_port="output" to_op="Select Attributes (5)" to_port="example set input"/>
< connect from_op="Select Attributes (5)" from_port="example set output" to_op="Set Role" to_port="example set input"/>
< connect from_op="Set Role" from_port="example set output" to_op="Remove Duplicates" to_port="example set input"/>
< connect from_op="Remove Duplicates" from_port="example set output" to_op="Loop Values" to_port="input 1"/>
< connect from_op="Loop Values" from_port="output 1" to_op="Collect" to_port="input 1"/>
< connect from_op="Collect" from_port="collection" to_port="result 1"/>





Tagged:

Best Answers

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,362RM Data Scientist
    Solution Accepted

    Hi,

    attached is a solution. You need Operator Toolbox extension to run this.

    Best,

    Martin


    < context>




    < = " t运营商激活rue" class="process" compatibility="9.0.002" expanded="true" name="Process">

    < = " t运营商激活rue" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Retrieve pedidos_con_cliente_importe" width="90" x="45" y="340">


    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (5)" width="90" x="179" y="340">



    < = " t运营商激活rue" class="set_role" compatibility="9.0.002" expanded="true" height="82" name="Set Role" width="90" x="313" y="340">




    < = " t运营商激活rue" class="remove_duplicates" compatibility="9.0.002" expanded="true" height="103" name="Remove Duplicates" width="90" x="447" y="340">






    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (6)" width="90" x="581" y="136">



    < = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression" width="90" x="715" y="136">



    < connect from_op="Select Attributes (6)" from_port="example set output" to_op="Linear Regression" to_port="training set"/>




    < = " t运营商激活rue" class="collect" compatibility="9.0.002" expanded="true" height="82" name="Collect" width="90" x="983" y="340"/>
    < = " t运营商激活rue" class="operator_toolbox:group_into_collection" compatibility="1.5.000-SNAPSHOT" expanded="true" height="82" name="Group Into Collection" width="90" x="581" y="340">


    < = " t运营商激活rue" class="loop_collection" compatibility="9.0.002" expanded="true" height="82" name="Loop Collection" width="90" x="782" y="340">

    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (2)" width="90" x="179" y="85">



    < = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression (2)" width="90" x="313" y="85">



    < connect from_port="single" to_op="Select Attributes (2)" to_port="example set input"/>
    < connect from_op="Select Attributes (2)" from_port="example set output" to_op="Linear Regression (2)" to_port="training set"/>
    < connect from_op="Linear Regression (2)" from_port="model" to_port="output 1"/>





    < connect from_op="Retrieve pedidos_con_cliente_importe" from_port="output" to_op="Select Attributes (5)" to_port="example set input"/>
    < connect from_op="Select Attributes (5)" from_port="example set output" to_op="Set Role" to_port="example set input"/>
    < connect from_op="Set Role" from_port="example set output" to_op="Remove Duplicates" to_port="example set input"/>
    < connect from_op="Remove Duplicates" from_port="example set output" to_op="Collect" to_port="input 1"/>
    < connect from_op="Collect" from_port="collection" to_port="result 1"/>






    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer lionelderkrikor
  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,362RM Data Scientist
    Solution Accepted

    @sebastian_gonza,

    did you use macros? Attached a version with annotate.

    Cheers,

    Martin


    < context>




    < = " t运营商激活rue" class="process" compatibility="9.0.002" expanded="true" name="Process">

    < = " t运营商激活rue" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Retrieve pedidos_con_cliente_importe" width="90" x="45" y="340">


    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (5)" width="90" x="179" y="340">



    < = " t运营商激活rue" class="set_role" compatibility="9.0.002" expanded="true" height="82" name="Set Role" width="90" x="313" y="340">




    < = " t运营商激活rue" class="remove_duplicates" compatibility="9.0.002" expanded="true" height="103" name="Remove Duplicates" width="90" x="447" y="340">






    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (6)" width="90" x="581" y="136">



    < = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression" width="90" x="715" y="136">



    < connect from_op="Select Attributes (6)" from_port="example set output" to_op="Linear Regression" to_port="training set"/>




    < = " t运营商激活rue" class="collect" compatibility="9.0.002" expanded="true" height="82" name="Collect" width="90" x="983" y="340"/>
    < = " t运营商激活rue" class="operator_toolbox:group_into_collection" compatibility="1.5.000-SNAPSHOT" expanded="true" height="82" name="Group Into Collection" width="90" x="581" y="340">


    < = " t运营商激活rue" class="loop_collection" compatibility="9.0.002" expanded="true" height="82" name="Loop Collection" width="90" x="782" y="340">

    < = " t运营商激活rue" class="extract_macro" compatibility="9.0.002" expanded="true" height="68" name="Extract Macro" width="90" x="45" y="34">






    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (2)" width="90" x="179" y="85">



    < = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression (2)" width="90" x="313" y="85">



    < = " t运营商激活rue" class="annotate" compatibility="9.0.002" expanded="true" height="68" name="Annotate" width="90" x="514" y="85">

    <参数键= "评论" value = " % {IdCliente} " / >


    < connect from_port="single" to_op="Extract Macro" to_port="example set"/>
    < connect from_op="Extract Macro" from_port="example set" to_op="Select Attributes (2)" to_port="example set input"/>
    < connect from_op="Select Attributes (2)" from_port="example set output" to_op="Linear Regression (2)" to_port="training set"/>
    < connect from_op="Linear Regression (2)" from_port="model" to_op="Annotate" to_port="input"/>
    < connect from_op="Annotate" from_port="output" to_port="output 1"/>





    < connect from_op="Retrieve pedidos_con_cliente_importe" from_port="output" to_op="Select Attributes (5)" to_port="example set input"/>
    < connect from_op="Select Attributes (5)" from_port="example set output" to_op="Set Role" to_port="example set input"/>
    < connect from_op="Set Role" from_port="example set output" to_op="Remove Duplicates" to_port="example set input"/>
    < connect from_op="Remove Duplicates" from_port="example set output" to_op="Collect" to_port="input 1"/>
    < connect from_op="Collect" from_port="collection" to_port="result 1"/>






    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer

Answers

  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru

    Sample Data

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, MemberPosts:1,195Unicorn

    Hi@sebastian_gonza,

    Can you check your XML file : It seems to be broken (it can not be loaded in RapidMiner)

    Regards,

    Lionel

  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru


    < context>




    < = " t运营商激活rue" class="process" compatibility="9.0.002" expanded="true" name="Process">

    < = " t运营商激活rue" class="retrieve" compatibility="9.0.002" expanded="true" height="68" name="Retrieve pedidos_con_cliente_importe" width="90" x="45" y="340">


    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (5)" width="90" x="179" y="340">



    < = " t运营商激活rue" class="set_role" compatibility="9.0.002" expanded="true" height="82" name="Set Role" width="90" x="313" y="340">




    < = " t运营商激活rue" class="remove_duplicates" compatibility="9.0.002" expanded="true" height="103" name="Remove Duplicates" width="90" x="447" y="340">



    < = " t运营商激活rue" class="concurrency:loop_values" compatibility="9.0.002" expanded="true" height="82" name="Loop Values" width="90" x="581" y="340">


    < = " t运营商激活rue" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (6)" width="90" x="112" y="34">



    < = " t运营商激活rue" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression" width="90" x="246" y="34">



    < connect from_port="input 1" to_op="Select Attributes (6)" to_port="example set input"/>
    < connect from_op="Select Attributes (6)" from_port="example set output" to_op="Linear Regression" to_port="training set"/>
    < connect from_op="Linear Regression" from_port="model" to_port="output 1"/>






    < = " t运营商激活rue" class="collect" compatibility="9.0.002" expanded="true" height="82" name="Collect" width="90" x="715" y="340"/>
    < connect from_op="Retrieve pedidos_con_cliente_importe" from_port="output" to_op="Select Attributes (5)" to_port="example set input"/>
    < connect from_op="Select Attributes (5)" from_port="example set output" to_op="Set Role" to_port="example set input"/>
    < connect from_op="Set Role" from_port="example set output" to_op="Remove Duplicates" to_port="example set input"/>
    < connect from_op="Remove Duplicates" from_port="example set output" to_op="Loop Values" to_port="input 1"/>
    < connect from_op="Loop Values" from_port="output 1" to_op="Collect" to_port="input 1"/>
    < connect from_op="Collect" from_port="collection" to_port="result 1"/>





  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru

    Thank you Martin:)

  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru

    Sorry one last thing, I tried using "Append" operator to join all the model results in a table but it only allows a table to be joined, also I cant append the IDclient to each model, could you help me please?

    Thank you

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3,362RM Data Scientist

    Hi,

    i think Annotate is the way to go here.

    BR,

    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, MemberPosts:52Guru

    Sorry, I could not ad the IdCliente to each model with annotate, I set the parameters

    Annotation name = Comment

    Annotation value = IdCliente

    But no specific model has the IdClient append to the IOObject

    Should it be another annotation name?

Sign InorRegisterto comment.