Giter Site home page Giter Site logo

Comments (7)

asafschers avatar asafschers commented on May 30, 2024 3

Thanks, already pushed the same fix :) (0.2.6)

from scoruby.

asafschers avatar asafschers commented on May 30, 2024

Sure, can you please provide an example PMML file?
Thanks!

from scoruby.

ronna-s avatar ronna-s commented on May 30, 2024

Amazing!
Taken from http://dmg.org/pmml/v4-3/NaiveBayes.html

<PMML xmlns="http://www.dmg.org/PMML-4_3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.3">
    <Header copyright="Copyright (c) 2013, DMG.org"/>
    <DataDictionary numberOfFields="6">
      <DataField name="age of individual" optype="continuous" dataType="double"/>
      <DataField name="gender" optype="categorical" dataType="string">
        <Value value="female"/>
        <Value value="male"/>
      </DataField>
      <DataField name="no of claims" optype="categorical" dataType="string">
        <Value value="0"/>
        <Value value="1"/>
        <Value value="2"/>
        <Value value="&gt;2"/>
      </DataField>
      <DataField name="domicile" optype="categorical" dataType="string">
        <Value value="suburban"/>
        <Value value="urban"/>
        <Value value="rural"/>
      </DataField>
      <DataField name="age of car" optype="continuous" dataType="double"/>
      <DataField name="amount of claims" optype="categorical" dataType="integer">
        <Value value="100"/>
        <Value value="500"/>
        <Value value="1000"/>
        <Value value="5000"/>
        <Value value="10000"/>
      </DataField>
    </DataDictionary>
    <NaiveBayesModel modelName="NaiveBayes Insurance" functionName="classification" threshold="0.001">
      <MiningSchema>
        <MiningField name="age of individual"/>
        <MiningField name="gender"/>
        <MiningField name="no of claims"/>
        <MiningField name="domicile"/>
        <MiningField name="age of car"/>
        <MiningField name="amount of claims" usageType="target"/>
      </MiningSchema>
      <BayesInputs>
        <BayesInput fieldName="age of individual">
          <TargetValueStats>
            <TargetValueStat value="  100">
              <GaussianDistribution mean="32.006" variance="0.352"/>
            </TargetValueStat>	
            <TargetValueStat value="  500">
              <GaussianDistribution mean="24.936" variance="0.516"/>
            </TargetValueStat>   
            <TargetValueStat value=" 1000">
              <GaussianDistribution mean="24.588" variance="0.635"/>
            </TargetValueStat>   
            <TargetValueStat value=" 5000">
              <GaussianDistribution mean="24.428" variance="0.379"/>
            </TargetValueStat>  
            <TargetValueStat value="10000">
              <GaussianDistribution mean="24.770" variance="0.314"/>
            </TargetValueStat>   
          </TargetValueStats>         
        </BayesInput>
        <BayesInput fieldName="gender">
          <PairCounts value="male">
            <TargetValueCounts>
              <TargetValueCount value="100" count="4273"/>
              <TargetValueCount value="500" count="1321"/>
              <TargetValueCount value="1000" count="780"/>
              <TargetValueCount value="5000" count="405"/>
              <TargetValueCount value="10000" count="42"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="female">
            <TargetValueCounts>
              <TargetValueCount value="100" count="4325"/>
              <TargetValueCount value="500" count="1212"/>
              <TargetValueCount value="1000" count="742"/>
              <TargetValueCount value="5000" count="292"/>
              <TargetValueCount value="10000" count="48"/>
            </TargetValueCounts>
          </PairCounts>
        </BayesInput>
        <BayesInput fieldName="no of claims">
          <PairCounts value="0">
            <TargetValueCounts>
              <TargetValueCount value="100" count="4698"/>
              <TargetValueCount value="500" count="623"/>
              <TargetValueCount value="1000" count="1259"/>
              <TargetValueCount value="5000" count="550"/>
              <TargetValueCount value="10000" count="40"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="1">
            <TargetValueCounts>
              <TargetValueCount value="100" count="3526"/>
              <TargetValueCount value="500" count="1798"/>
              <TargetValueCount value="1000" count="227"/>
              <TargetValueCount value="5000" count="152"/>
              <TargetValueCount value="10000" count="40"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="2">
            <TargetValueCounts>
              <TargetValueCount value="100" count="225"/>
              <TargetValueCount value="500" count="10"/>
              <TargetValueCount value="1000" count="9"/>
              <TargetValueCount value="5000" count="0"/>
              <TargetValueCount value="10000" count="10"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="&gt;2">
            <TargetValueCounts>
              <TargetValueCount value="100" count="112"/>
              <TargetValueCount value="500" count="5"/>
              <TargetValueCount value="1000" count="1"/>
              <TargetValueCount value="5000" count="1"/>
              <TargetValueCount value="10000" count="8"/>
            </TargetValueCounts>
          </PairCounts>
        </BayesInput>
        <BayesInput fieldName="domicile">
          <PairCounts value="suburban">
            <TargetValueCounts>
              <TargetValueCount value="100" count="2536"/>
              <TargetValueCount value="500" count="165"/>
              <TargetValueCount value="1000" count="516"/>
              <TargetValueCount value="5000" count="290"/>
              <TargetValueCount value="10000" count="42"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="urban">
            <TargetValueCounts>
              <TargetValueCount value="100" count="1679"/>
              <TargetValueCount value="500" count="792"/>
              <TargetValueCount value="1000" count="511"/>
              <TargetValueCount value="5000" count="259"/>
              <TargetValueCount value="10000" count="30"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="rural">
            <TargetValueCounts>
              <TargetValueCount value="100" count="2512"/>
              <TargetValueCount value="500" count="1013"/>
              <TargetValueCount value="1000" count="442"/>
              <TargetValueCount value="5000" count="137"/>
              <TargetValueCount value="10000" count="21"/>
            </TargetValueCounts>
          </PairCounts>
        </BayesInput>
        <BayesInput fieldName="age of car">
          <DerivedField optype="categorical" dataType="string">
            <Discretize field="age of car">
              <DiscretizeBin binValue="0">
                <Interval closure="closedOpen" leftMargin="0" rightMargin="1"/>
              </DiscretizeBin>
              <DiscretizeBin binValue="1">
                <Interval closure="closedOpen" leftMargin="1" rightMargin="5"/>
              </DiscretizeBin>
              <DiscretizeBin binValue="2">
                <Interval closure="closedOpen" leftMargin="5"/>
              </DiscretizeBin>
            </Discretize>
          </DerivedField>
          <PairCounts value="0">
            <TargetValueCounts>
              <TargetValueCount value="100" count="927"/>
              <TargetValueCount value="500" count="183"/>
              <TargetValueCount value="1000" count="221"/>
              <TargetValueCount value="5000" count="50"/>
              <TargetValueCount value="10000" count="10"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="1">
            <TargetValueCounts>
              <TargetValueCount value="100" count="830"/>
              <TargetValueCount value="500" count="182"/>
              <TargetValueCount value="1000" count="51"/>
              <TargetValueCount value="5000" count="26"/>
              <TargetValueCount value="10000" count="6"/>
            </TargetValueCounts>
          </PairCounts>
          <PairCounts value="2">
            <TargetValueCounts>
              <TargetValueCount value="100" count="6251"/>
              <TargetValueCount value="500" count="1901"/>
              <TargetValueCount value="1000" count="919"/>
              <TargetValueCount value="5000" count="623"/>
              <TargetValueCount value="10000" count="71"/>
            </TargetValueCounts>
          </PairCounts>
        </BayesInput>
      </BayesInputs>
      <BayesOutput fieldName="amount of claims">
        <TargetValueCounts>
          <TargetValueCount value="100" count="8723"/>
          <TargetValueCount value="500" count="2557"/>
          <TargetValueCount value="1000" count="1530"/>
          <TargetValueCount value="5000" count="709"/>
          <TargetValueCount value="10000" count="100"/>
        </TargetValueCounts>
      </BayesOutput>
    </NaiveBayesModel>
  </PMML>

from scoruby.

asafschers avatar asafschers commented on May 30, 2024

Hey

Deployed a very initial version (0.2.5), still needs refactoring (extract data class) and probably has some bugs.
You can use spec for reference, wasn't sure if my output was right so just printed it until I finalize it.
Please let me now if anything doesn't work, I'll be happy to fix

Thanks :)

from scoruby.

ronna-s avatar ronna-s commented on May 30, 2024

Thank you very much.
Currently I'm getting RuntimeError: model not supported

from scoruby.

ronna-s avatar ronna-s commented on May 30, 2024

I added a PR to solve it. Looking into the data.

from scoruby.

asafschers avatar asafschers commented on May 30, 2024

Added specs by http://dmg.org/pmml/v4-3/NaiveBayes.html

from scoruby.

Related Issues (8)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.