Stacking IOObject output for different models in a simple csv table

sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, Member Posts: 52  Guru
edited December 2018 in Help

Hello

 

Can someone tell me if it is possible to stack the output of differetn individual models from a collection of IOObjects, into one simple csv table? I tried writing a csv, excel after the collection operator but it did not work

 

Thanks

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Answers

  • rfuentealbarfuentealba Moderator, RapidMiner Certified Analyst, Member, University Professor Posts: 399   Unicorn

    Hi @sebastian_gonza,

     

    Can you post your XML process? Yes, it should be doable. Let's see what you've got.

     

    All the best,

     

    Rodrigo.

  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, Member Posts: 52  Guru
    <?xml version="1.0" encoding="UTF-8"?><process version="9.0.002">
    <context>
    <input/>
    <output/>
    <macros/>
    </context>
    <operator activated="true" class="process" compatibility="9.0.002" expanded="true" name="Process">
    <process expanded="true">
    <operator activated="true" class="subprocess" compatibility="9.0.002" expanded="true" height="82" name="Modelos" width="90" x="179" y="136">
    <process expanded="true">
    <operator activated="true" class="read_csv" compatibility="9.0.002" expanded="true" height="68" name="Read CSV" width="90" x="246" y="34">
    <parameter key="csv_file" value="C:\Users\ANGLOBAL\Desktop\sample.csv"/>
    <list key="annotations"/>
    <list key="data_set_meta_data_information"/>
    </operator>
    <operator activated="true" class="multiply" compatibility="9.0.002" expanded="true" height="103" name="Multiply (2)" width="90" x="447" y="34"/>
    <operator activated="true" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (5)" width="90" x="581" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="Cantidad|IdCliente|IdPedido|Importe|PrecioFinal"/>
    </operator>
    <operator activated="true" class="generate_attributes" compatibility="9.0.002" expanded="true" height="82" name="Generate Attributes (3)" width="90" x="715" y="34">
    <list key="function_descriptions">
    <parameter key="Logimporte" value="log(Importe+1)"/>
    <parameter key="Logprecio" value="log([PrecioFinal]+1)"/>
    <parameter key="Logcantidades" value="log(Cantidad+1)"/>
    </list>
    </operator>
    <operator activated="true" class="set_role" compatibility="9.0.002" expanded="true" height="82" name="Set Role" width="90" x="849" y="34">
    <parameter key="attribute_name" value="Logimporte"/>
    <parameter key="target_role" value="label"/>
    <list key="set_additional_roles"/>
    </operator>
    <operator activated="true" class="remove_duplicates" compatibility="9.0.002" expanded="true" height="103" name="Remove Duplicates" width="90" x="983" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="IdCliente|IdPedido|Importe|Cantidad"/>
    </operator>
    <operator activated="true" class="multiply" compatibility="9.0.002" expanded="true" height="82" name="Multiply" width="90" x="1117" y="34"/>
    <operator activated="true" class="operator_toolbox:group_into_collection" compatibility="1.5.000" expanded="true" height="82" name="Group Into Collection" width="90" x="45" y="238">
    <parameter key="group_by_attribute" value="IdCliente"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.002" expanded="true" height="68" name="Annotate" width="90" x="179" y="238">
    <list key="annotations">
    <parameter key="Comment" value="IdCliente"/>
    </list>
    </operator>
    <operator activated="true" class="loop_collection" compatibility="9.0.002" expanded="true" height="145" name="Loop Collection" width="90" x="313" y="238">
    <process expanded="true">
    <operator activated="true" class="extract_macro" compatibility="9.0.002" expanded="true" height="68" name="Extract Macro (2)" width="90" x="45" y="34">
    <parameter key="macro" value="IdCliente"/>
    <parameter key="macro_type" value="data_value"/>
    <parameter key="attribute_name" value="IdCliente"/>
    <parameter key="example_index" value="1"/>
    <list key="additional_macros"/>
    </operator>
    <operator activated="true" class="select_attributes" compatibility="9.0.002" expanded="true" height="82" name="Select Attributes (2)" width="90" x="179" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="Logcantidades|Logimporte|Logprecio"/>
    </operator>
    <operator activated="true" class="split_data" compatibility="9.0.002" expanded="true" height="103" name="Split Data" width="90" x="313" y="34">
    <enumeration key="partitions">
    <parameter key="ratio" value="0.7"/>
    <parameter key="ratio" value="0.3"/>
    </enumeration>
    </operator>
    <operator activated="true" class="linear_regression" compatibility="9.0.002" expanded="true" height="103" name="Linear Regression (2)" width="90" x="447" y="34">
    <parameter key="eliminate_colinear_features" value="false"/>
    <parameter key="use_bias" value="false"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.002" expanded="true" height="68" name="Annotate (2)" width="90" x="581" y="34">
    <list key="annotations">
    <parameter key="Comment" value="%{IdCliente}"/>
    </list>
    </operator>
    <operator activated="true" class="apply_model" compatibility="9.0.002" expanded="true" height="82" name="Apply Model" width="90" x="715" y="34">
    <list key="application_parameters"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.002" expanded="true" height="68" name="Annotate (3)" width="90" x="849" y="34">
    <list key="annotations">
    <parameter key="Comment" value="%{IdCliente}"/>
    </list>
    </operator>
    <connect from_port="single" to_op="Extract Macro (2)" to_port="example set"/>
    <connect from_op="Extract Macro (2)" 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="Split Data" to_port="example set"/>
    <connect from_op="Split Data" from_port="partition 1" to_op="Linear Regression (2)" to_port="training set"/>
    <connect from_op="Split Data" from_port="partition 2" to_op="Apply Model" to_port="unlabelled data"/>
    <connect from_op="Linear Regression (2)" from_port="model" to_op="Annotate (2)" to_port="input"/>
    <connect from_op="Annotate (2)" from_port="output" to_op="Apply Model" to_port="model"/>
    <connect from_op="Apply Model" from_port="labelled data" to_op="Annotate (3)" to_port="input"/>
    <connect from_op="Apply Model" from_port="model" to_port="output 2"/>
    <connect from_op="Annotate (3)" from_port="output" to_port="output 1"/>
    <portSpacing port="source_single" spacing="0"/>
    <portSpacing port="sink_output 1" spacing="0"/>
    <portSpacing port="sink_output 2" spacing="0"/>
    <portSpacing port="sink_output 3" spacing="0"/>
    <portSpacing port="sink_output 4" spacing="0"/>
    <portSpacing port="sink_output 5" spacing="0"/>
    </process>
    </operator>
    <operator activated="true" class="collect" compatibility="9.0.002" expanded="true" height="145" name="Collect" width="90" x="514" y="223"/>
    <connect from_op="Read CSV" from_port="output" to_op="Multiply (2)" to_port="input"/>
    <connect from_op="Multiply (2)" from_port="output 1" to_op="Select Attributes (5)" to_port="example set input"/>
    <connect from_op="Select Attributes (5)" from_port="example set output" to_op="Generate Attributes (3)" to_port="example set input"/>
    <connect from_op="Generate Attributes (3)" 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="Multiply" to_port="input"/>
    <connect from_op="Multiply" from_port="output 1" to_op="Group Into Collection" to_port="exa"/>
    <connect from_op="Group Into Collection" from_port="col" to_op="Annotate" to_port="input"/>
    <connect from_op="Annotate" from_port="output" to_op="Loop Collection" to_port="collection"/>
    <connect from_op="Loop Collection" from_port="output 1" to_op="Collect" to_port="input 1"/>
    <connect from_op="Loop Collection" from_port="output 2" to_op="Collect" to_port="input 2"/>
    <connect from_op="Loop Collection" from_port="output 3" to_op="Collect" to_port="input 3"/>
    <connect from_op="Loop Collection" from_port="output 4" to_op="Collect" to_port="input 4"/>
    <connect from_op="Collect" from_port="collection" 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>
    </operator>
    <connect from_op="Modelos" from_port="out 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>

     Sure, I attach a sample

     

    Thanks

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,131  RM Data Scientist

    Hi,

    the key operator is Append. it can merge a colection of example sets into one, if the schema is the same.

     

    BR,

    Martin

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

    In the ending of the loop and after the collection does not work, where should the append be placed?

     

    thanks

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,131  RM Data Scientist

    Hi,

    after the loop. you need to ensure that the data has the same schema though.

     

    BR,

    Martin

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

    Sorry, I dont understand the same schema, if you refer to the structure of each IOObject, is a linear regression by Id, some time is calculated others not, I get the error "The operator needs a rapidminer input type which is not provided"

     

     

  • sebastian_gonzasebastian_gonza RapidMiner Certified Analyst, Member Posts: 52  Guru

    Sorry, is it possible for you to have a look at the last reply please? thanks

  • sgenzersgenzer 12Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,446  Community Manager

    Hi @sebastian_gonza - ok I see what's going on here. So it's not a good idea to mix your models with your ExampleSets. It's like apples and oranges, and hence RM has no idea what to do with that (and hence weird error message).

     

    I don't see more than one model in your XML so I'm not sure what you're trying to do there, but this may guide you in a good direction:

     

    <?xml version="1.0" encoding="UTF-8"?><process version="9.0.003">
    <context>
    <input/>
    <output/>
    <macros/>
    </context>
    <operator activated="true" class="process" compatibility="9.0.003" expanded="true" name="Process">
    <process expanded="true">
    <operator activated="true" class="subprocess" compatibility="9.0.003" expanded="true" height="82" name="Modelos" width="90" x="45" y="85">
    <process expanded="true">
    <operator activated="true" class="read_csv" compatibility="9.0.003" expanded="true" height="68" name="Read CSV" width="90" x="246" y="34">
    <parameter key="csv_file" value="/Users/genzerconsulting/Desktop/sample.csv"/>
    <list key="annotations"/>
    <list key="data_set_meta_data_information"/>
    </operator>
    <operator activated="true" class="multiply" compatibility="9.0.003" expanded="true" height="82" name="Multiply (2)" width="90" x="447" y="34"/>
    <operator activated="true" class="select_attributes" compatibility="9.0.003" expanded="true" height="82" name="Select Attributes (5)" width="90" x="581" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="Cantidad|IdCliente|IdPedido|Importe|PrecioFinal"/>
    </operator>
    <operator activated="true" class="generate_attributes" compatibility="9.0.003" expanded="true" height="82" name="Generate Attributes (3)" width="90" x="715" y="34">
    <list key="function_descriptions">
    <parameter key="Logimporte" value="log(Importe+1)"/>
    <parameter key="Logprecio" value="log([PrecioFinal]+1)"/>
    <parameter key="Logcantidades" value="log(Cantidad+1)"/>
    </list>
    </operator>
    <operator activated="true" class="set_role" compatibility="9.0.003" expanded="true" height="82" name="Set Role" width="90" x="849" y="34">
    <parameter key="attribute_name" value="Logimporte"/>
    <parameter key="target_role" value="label"/>
    <list key="set_additional_roles"/>
    </operator>
    <operator activated="true" class="remove_duplicates" compatibility="9.0.003" expanded="true" height="103" name="Remove Duplicates" width="90" x="983" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="IdCliente|IdPedido|Importe|Cantidad"/>
    </operator>
    <operator activated="true" class="multiply" compatibility="9.0.003" expanded="true" height="82" name="Multiply" width="90" x="1117" y="34"/>
    <operator activated="true" class="operator_toolbox:group_into_collection" compatibility="1.5.000" expanded="true" height="82" name="Group Into Collection" width="90" x="45" y="238">
    <parameter key="group_by_attribute" value="IdCliente"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.003" expanded="true" height="68" name="Annotate" width="90" x="179" y="238">
    <list key="annotations">
    <parameter key="Comment" value="IdCliente"/>
    </list>
    </operator>
    <operator activated="true" class="loop_collection" compatibility="9.0.003" expanded="true" height="103" name="Loop Collection" width="90" x="313" y="238">
    <process expanded="true">
    <operator activated="true" class="extract_macro" compatibility="9.0.003" expanded="true" height="68" name="Extract Macro (2)" width="90" x="45" y="34">
    <parameter key="macro" value="IdCliente"/>
    <parameter key="macro_type" value="data_value"/>
    <parameter key="attribute_name" value="IdCliente"/>
    <parameter key="example_index" value="1"/>
    <list key="additional_macros"/>
    </operator>
    <operator activated="true" class="select_attributes" compatibility="9.0.003" expanded="true" height="82" name="Select Attributes (2)" width="90" x="179" y="34">
    <parameter key="attribute_filter_type" value="subset"/>
    <parameter key="attributes" value="Logcantidades|Logimporte|Logprecio"/>
    </operator>
    <operator activated="true" class="split_data" compatibility="9.0.003" expanded="true" height="103" name="Split Data" width="90" x="313" y="238">
    <enumeration key="partitions">
    <parameter key="ratio" value="0.7"/>
    <parameter key="ratio" value="0.3"/>
    </enumeration>
    </operator>
    <operator activated="true" class="linear_regression" compatibility="9.0.003" expanded="true" height="103" name="Linear Regression (2)" width="90" x="447" y="34">
    <parameter key="eliminate_colinear_features" value="false"/>
    <parameter key="use_bias" value="false"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.003" expanded="true" height="68" name="Annotate (2)" width="90" x="581" y="34">
    <list key="annotations">
    <parameter key="Comment" value="%{IdCliente}"/>
    </list>
    </operator>
    <operator activated="true" class="apply_model" compatibility="9.0.003" expanded="true" height="82" name="Apply Model" width="90" x="715" y="136">
    <list key="application_parameters"/>
    </operator>
    <operator activated="true" class="annotate" compatibility="9.0.003" expanded="true" height="68" name="Annotate (3)" width="90" x="849" y="34">
    <list key="annotations">
    <parameter key="Comment" value="%{IdCliente}"/>
    </list>
    </operator>
    <connect from_port="single" to_op="Extract Macro (2)" to_port="example set"/>
    <connect from_op="Extract Macro (2)" 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="Split Data" to_port="example set"/>
    <connect from_op="Split Data" from_port="partition 1" to_op="Linear Regression (2)" to_port="training set"/>
    <connect from_op="Split Data" from_port="partition 2" to_op="Apply Model" to_port="unlabelled data"/>
    <connect from_op="Linear Regression (2)" from_port="model" to_op="Annotate (2)" to_port="input"/>
    <connect from_op="Annotate (2)" from_port="output" to_op="Apply Model" to_port="model"/>
    <connect from_op="Apply Model" from_port="labelled data" to_op="Annotate (3)" to_port="input"/>
    <connect from_op="Apply Model" from_port="model" to_port="output 2"/>
    <connect from_op="Annotate (3)" from_port="output" to_port="output 1"/>
    <portSpacing port="source_single" spacing="0"/>
    <portSpacing port="sink_output 1" spacing="0"/>
    <portSpacing port="sink_output 2" spacing="189"/>
    <portSpacing port="sink_output 3" spacing="0"/>
    </process>
    </operator>
    <operator activated="true" class="collect" compatibility="9.0.003" expanded="true" height="82" name="Collect" width="90" x="447" y="238"/>
    <operator activated="true" class="append" compatibility="9.0.003" expanded="true" height="82" name="Append" width="90" x="581" y="238"/>
    <connect from_op="Read CSV" from_port="output" to_op="Multiply (2)" to_port="input"/>
    <connect from_op="Multiply (2)" from_port="output 1" to_op="Select Attributes (5)" to_port="example set input"/>
    <connect from_op="Select Attributes (5)" from_port="example set output" to_op="Generate Attributes (3)" to_port="example set input"/>
    <connect from_op="Generate Attributes (3)" 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="Multiply" to_port="input"/>
    <connect from_op="Multiply" from_port="output 1" to_op="Group Into Collection" to_port="exa"/>
    <connect from_op="Group Into Collection" from_port="col" to_op="Annotate" to_port="input"/>
    <connect from_op="Annotate" from_port="output" to_op="Loop Collection" to_port="collection"/>
    <connect from_op="Loop Collection" from_port="output 1" to_op="Collect" to_port="input 1"/>
    <connect from_op="Collect" from_port="collection" to_op="Append" to_port="example set 1"/>
    <connect from_op="Append" from_port="merged set" to_port="out 1"/>
    <portSpacing port="source_in 1" spacing="0"/>
    <portSpacing port="sink_out 1" spacing="420"/>
    <portSpacing port="sink_out 2" spacing="0"/>
    </process>
    </operator>
    <connect from_op="Modelos" from_port="out 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>

    Scott

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