"Logistic Regression cannot handle polynominal label."

arunpushkar

i am using "read Database" operator to read training data from Mysql having 3 integer attributes and one varchar(4) attribute which will act as "lable" for classification and takes value 'yes' or 'no'. now when i use "logistic regression" for training model i get following error"Logistic Regression cannot handle polynomial label" but if i read csv data from csv file and set lable attribute to "nominal" it work's properly. but when i read data from database it gives error, first of all how to make any attribute read from database "nominal" so that it can be used by "Logical Regression". in fact i used "text to nominal" operator but it didn't work.
XML code for it as follows:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
    <process expanded="true" height="531" width="832">
      <operator activated="true" class="read_database" compatibility="5.2.008" expanded="true" height="60" name="Training" width="90" x="65" y="121">
        <parameter key="define_connection" value="url"/>
        <parameter key="connection" value="netcon"/>
        <parameter key="database_url" value="jdbc:mysql://localhost:3306/netdata"/>
        <parameter key="username" value="root"/>
        <parameter key="password" value="UxP0KMCZjok="/>
        <parameter key="query" value="SELECT *&#10;FROM `trainingData`"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="5.2.008" expanded="true" height="76" name="Set Role" width="90" x="179" y="120">
        <parameter key="name" value="attack"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="logistic_regression" compatibility="5.2.008" expanded="true" height="94" name="Logistic Regression" width="90" x="313" y="120"/>
      <operator activated="true" class="read_database" compatibility="5.2.008" expanded="true" height="60" name="Scoring" width="90" x="313" y="345">
        <parameter key="define_connection" value="url"/>
        <parameter key="database_url" value="jdbc:mysql://localhost:3306/netdata"/>
        <parameter key="username" value="root"/>
        <parameter key="password" value="UxP0KMCZjok="/>
        <parameter key="query" value="SELECT *&#10;FROM `scoringData`"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model" width="90" x="514" y="165">
        <list key="application_parameters"/>
      </operator>
      <connect from_op="Training" from_port="output" to_op="Set Role" to_port="example set input"/>
      <connect from_op="Set Role" from_port="example set output" to_op="Logistic Regression" to_port="training set"/>
      <connect from_op="Logistic Regression" from_port="model" to_op="Apply Model" to_port="model"/>
      <connect from_op="Scoring" from_port="output" to_op="Apply Model" to_port="unlabelled data"/>
      <connect from_op="Apply Model" from_port="model" 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>

Skirzynski

Indeed it is strange that you get different behavior for the same data. Please check if the "Read CSV" operator really returns a nominal and not a binominal label. Unfortunately I do not have your CSV file nor your database to confirm your observation.

To solve your problem: Convert the type of your label to binominal explicitly. For this you can use the "Nominal to Binominal" operator.

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.000" expanded="true" name="Process">
    <process expanded="true" height="531" width="832">
      <operator activated="true" class="read_database" compatibility="5.3.000" expanded="true" height="60" name="Training" width="90" x="45" y="120">
        <parameter key="define_connection" value="url"/>
        <parameter key="connection" value="netcon"/>
        <parameter key="database_url" value="jdbc:mysql://localhost:3306/netdata"/>
        <parameter key="username" value="root"/>
        <parameter key="password" value="XMwkPQPpKVNYn/9aiRV/qw=="/>
        <parameter key="query" value="SELECT *&#10;FROM `trainingData`"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="nominal_to_binominal" compatibility="5.3.000" expanded="true" height="94" name="Nominal to Binominal" width="90" x="179" y="120">
        <parameter key="attribute_filter_type" value="single"/>
        <parameter key="attribute" value="attack"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="5.3.000" expanded="true" height="76" name="Set Role" width="90" x="313" y="120">
        <parameter key="name" value="attack"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="logistic_regression" compatibility="5.3.000" expanded="true" height="94" name="Logistic Regression" width="90" x="447" y="120"/>
      <operator activated="true" class="read_database" compatibility="5.3.000" expanded="true" height="60" name="Scoring" width="90" x="447" y="345">
        <parameter key="define_connection" value="url"/>
        <parameter key="database_url" value="jdbc:mysql://localhost:3306/netdata"/>
        <parameter key="username" value="root"/>
        <parameter key="password" value="XMwkPQPpKVNYn/9aiRV/qw=="/>
        <parameter key="query" value="SELECT *&#10;FROM `scoringData`"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="apply_model" compatibility="5.3.000" expanded="true" height="76" name="Apply Model" width="90" x="648" y="165">
        <list key="application_parameters"/>
      </operator>
      <connect from_op="Training" from_port="output" to_op="Nominal to Binominal" to_port="example set input"/>
      <connect from_op="Nominal to Binominal" 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="Logistic Regression" to_port="training set"/>
      <connect from_op="Logistic Regression" from_port="model" to_op="Apply Model" to_port="model"/>
      <connect from_op="Scoring" from_port="output" to_op="Apply Model" to_port="unlabelled data"/>
      <connect from_op="Apply Model" from_port="model" 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>