Package tv.floe.metronome.classification.logisticregression

Examples of tv.floe.metronome.classification.logisticregression.POLRModelParameters

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    String[] predictor_label_names = this.PredictorLabelNames.split(",");
   
    String[] variable_types = this.PredictorVariableTypes.split(",");
   
    polr_modelparams = new POLRModelParameters();
    polr_modelparams.setTargetVariable(this.TargetVariableName); // getStringArgument(cmdLine,
                                                                 // target));
    polr_modelparams.setNumFeatures(this.FeatureVectorSize);
    polr_modelparams.setUseBias(true); // !getBooleanArgument(cmdLine, noBias));
   
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    // do splitting strings into arrays here...
    String[] predictor_label_names = this.PredictorLabelNames.split(",");
    String[] variable_types = this.PredictorVariableTypes.split(",");
   
    polr_modelparams = new POLRModelParameters();
    polr_modelparams.setTargetVariable(this.TargetVariableName);
    polr_modelparams.setNumFeatures(this.FeatureVectorSize);
    polr_modelparams.setUseBias(true);
   
    List<String> typeList = Lists.newArrayList();
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Related Classes of tv.floe.metronome.classification.logisticregression.POLRModelParameters

  • tv.floe.metronome.classification.logisticregression.iterativereduce.POLRMasterNode
  • tv.floe.metronome.classification.logisticregression.iterativereduce.POLRWorkerNode
  • java.io.InputStream
  • java.io.FileInputStream
  • java.io.DataOutputStream
  • java.io.DataInputStream
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