problems of polynomial label when inputting classification data from csv file.

huaiyanggongzi

I used the operator of "Fast Last Margin" for the classification purposes. It keeps giving the error message of "Fast Large Margin cannot handle polynominal label." However, the label column only has two types of value: "P" and "N" It should be binomial. Why Rapidminer keep treating it as "polynominal".

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
    <description>This getting started process shows the first step of learning and storing a model.
After a model is learned, you can load (Retrieve operator) the model and apply it to a test data set (see 2. Getting Started: Retrieve and Apply Model). The process is NOT concerned with evaluation of the model.

This process will not immediately run in RapidMiner because you have to adjust the repository path in the Retrieve operator.

Tags: Rapidminer, model, learn, learning, store, first step</description>
    <process expanded="true">
      <operator activated="true" class="read_csv" compatibility="5.3.008" expanded="true" height="60" name="Read CSV" width="90" x="45" y="30">
        <parameter key="csv_file" value="C:\Users\Desktop\predictive coding project\AT&amp;T\test3.csv"/>
        <parameter key="column_separators" value=","/>
        <parameter key="first_row_as_names" value="false"/>
        <list key="annotations">
          <parameter key="0" value="Name"/>
        </list>
        <parameter key="encoding" value="GBK"/>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="column1.true.nominal.attribute"/>
          <parameter key="1" value="column2.true.nominal.attribute"/>
          <parameter key="2" value="label.true.nominal.label"/>
        </list>
      </operator>
      <operator activated="true" class="nominal_to_text" compatibility="5.3.008" expanded="true" height="76" name="Nominal to Text" width="90" x="45" y="120"/>
      <operator activated="true" class="set_role" compatibility="5.3.008" expanded="true" height="76" name="Set Role" width="90" x="45" y="255">
        <parameter key="attribute_name" value="label"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles">
          <parameter key="label" value="label"/>
          <parameter key="column1" value="regular"/>
          <parameter key="column2" value="regular"/>
        </list>
      </operator>
      <operator activated="true" class="text:process_document_from_data" compatibility="5.3.000" expanded="true" height="76" name="Process Documents from Data" width="90" x="45" y="390">
        <parameter key="vector_creation" value="Binary Term Occurrences"/>
        <list key="specify_weights"/>
        <process expanded="true">
          <operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize (3)" width="90" x="45" y="30">
            <parameter key="mode" value="regular expression"/>
            <parameter key="expression" value="[^0-9a-zA-Z\.\-]"/>
          </operator>
          <operator activated="true" class="text:transform_cases" compatibility="5.3.000" expanded="true" height="60" name="Transform Cases (3)" width="90" x="179" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="5.3.000" expanded="true" height="60" name="Filter Tokens (3)" width="90" x="541" y="30">
            <parameter key="min_chars" value="1"/>
            <parameter key="max_chars" value="200"/>
          </operator>
          <connect from_port="document" to_op="Tokenize (3)" to_port="document"/>
          <connect from_op="Tokenize (3)" from_port="document" to_op="Transform Cases (3)" to_port="document"/>
          <connect from_op="Transform Cases (3)" from_port="document" to_op="Filter Tokens (3)" to_port="document"/>
          <connect from_op="Filter Tokens (3)" from_port="document" to_port="document 1"/>
          <portSpacing port="source_document" spacing="0"/>
          <portSpacing port="sink_document 1" spacing="0"/>
          <portSpacing port="sink_document 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="fast_large_margin" compatibility="5.3.008" expanded="true" height="76" name="Fast Large Margin" width="90" x="246" y="210">
        <list key="class_weights"/>
      </operator>
      <connect from_op="Read CSV" from_port="output" to_op="Nominal to Text" to_port="example set input"/>
      <connect from_op="Nominal to Text" 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="Process Documents from Data" to_port="example set"/>
      <connect from_op="Process Documents from Data" from_port="example set" to_op="Fast Large Margin" to_port="training set"/>
      <connect from_op="Process Documents from Data" from_port="word list" 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>

MariusHelf

Hi,

first of all you should update your installation - you are using RapidMiner 5.3.8 which is very old. The latest version is 5.3.15.

Regarding your problem, did you run the process? Sometimes the Problems view is a bit over-pessimistic and in reality the process will run fine if you press the Run button.

Best regards,
Marius