Package tv.floe.metronome.linearregression

Examples of tv.floe.metronome.linearregression.ModelParameters

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      String[] predictor_label_names = this.PredictorLabelNames.split(",");
     
      String[] variable_types = this.PredictorVariableTypes.split(",");
     
      polr_modelparams = new ModelParameters();
      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 ModelParameters();
    polr_modelparams.setTargetVariable(this.TargetVariableName);
    polr_modelparams.setNumFeatures(this.FeatureVectorSize);
    polr_modelparams.setUseBias(true);

    List<String> typeList = Lists.newArrayList();
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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 ModelParameters();
    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.linearregression.ModelParameters

  • tv.floe.metronome.linearregression.iterativereduce.MasterNode
  • tv.floe.metronome.linearregression.iterativereduce.MiniBatchWorkerNode
  • tv.floe.metronome.linearregression.iterativereduce.WorkerNode
  • java.io.InputStream
  • java.io.FileInputStream
  • java.io.DataOutputStream
  • java.io.DataInputStream
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