Example usage for weka.core Instance setMissing

Introduction

In this page you can find the example usage for weka.core Instance setMissing.

Prototype

public void setMissing(Attribute att);

Source Link

Document

Sets a specific value to be "missing".

Usage

From source file:wekimini.DataManager.java

public void setOutputMissingForAll(int outputNum) {
    for (int i = 0; i < allInstances.numInstances(); i++) {
        Instance in = allInstances.instance(i);
        in.setMissing(numMetaData + numInputs + outputNum);
    }/*from ww  w  .  ja v  a  2s .co m*/
    setNumExamplesPerOutput(outputNum, 0);
}

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From source file:wekimini.InputGenerator.java

public void addToStorage(double[] inputs, double[] outputs, boolean[] recordingMask, int recordingRound) {

    int thisId = nextID;
    nextID++;// w  w  w  .j a v  a 2 s.c  o m

    double myVals[] = new double[numMetaData + numInputs + numOutputs];
    myVals[idIndex] = thisId;
    myVals[recordingRoundIndex] = recordingRound;

    Date now = new Date();
    //myVals[timestampIndex] = Double.parseDouble(dateFormat.format(now)); //Error: This gives us scientific notation!

    String pretty = prettyDateFormat.format(now);
    try {
        myVals[timestampIndex] = storedInputs.attribute(timestampIndex).parseDate(pretty);
        //myVals[timestampIndex] =
    } catch (ParseException ex) {
        myVals[timestampIndex] = 0;
        Logger.getLogger(DataManager.class.getName()).log(Level.SEVERE, null, ex);
    }

    /*for (int i = 0; i < numInputs; i++) {
     myVals[numMetaData + i] = featureVals[i];
     } */
    System.arraycopy(inputs, 0, myVals, numMetaData, inputs.length); //TODO DOUBLECHECK

    /*for (int i = 0; i < numParams; i++) {
     if (isParamDiscrete[i] && (paramVals[i] < 0 || paramVals[i] >= numParamValues[i])) {
     throw new IllegalArgumentException("Invalid value for this discrete parameter");
     }
            
     myVals[numMetaData + numFeatures + i] = paramVals[i];
     } */
    System.arraycopy(outputs, 0, myVals, numMetaData + numInputs, outputs.length);

    Instance in = new Instance(1.0, myVals);
    for (int i = 0; i < recordingMask.length; i++) {
        if (!recordingMask[i]) {
            in.setMissing(numMetaData + numInputs + i);
        } else {
            w.getDataManager().setNumExamplesPerOutput(i, w.getDataManager().getNumExamplesPerOutput(i) + 1);
            // outputInstanceCounts[i]++;
        }
    }
    in.setDataset(storedInputs);
    storedInputs.add(in);
    //setHasInstances(true);
    //fireStateChanged();
    //throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}

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From source file:wekimini.InputGenerator.java

public void addToTraining(double[] inputs, double[] outputs, boolean[] recordingMask, int recordingRound) {

    int thisId = nextID;
    nextID++;//from ww w.  j  a  v a 2s. c o  m

    double myVals[] = new double[numMetaData + numInputs + numOutputs];
    myVals[idIndex] = thisId;
    myVals[recordingRoundIndex] = recordingRound;

    Date now = new Date();
    //myVals[timestampIndex] = Double.parseDouble(dateFormat.format(now)); //Error: This gives us scientific notation!

    String pretty = prettyDateFormat.format(now);
    try {
        myVals[timestampIndex] = trainingInputs.attribute(timestampIndex).parseDate(pretty);
        //myVals[timestampIndex] =
    } catch (ParseException ex) {
        myVals[timestampIndex] = 0;
        Logger.getLogger(DataManager.class.getName()).log(Level.SEVERE, null, ex);
    }

    /*for (int i = 0; i < numInputs; i++) {
     myVals[numMetaData + i] = featureVals[i];
     } */
    System.arraycopy(inputs, 0, myVals, numMetaData, inputs.length); //TODO DOUBLECHECK

    /*for (int i = 0; i < numParams; i++) {
     if (isParamDiscrete[i] && (paramVals[i] < 0 || paramVals[i] >= numParamValues[i])) {
     throw new IllegalArgumentException("Invalid value for this discrete parameter");
     }
            
     myVals[numMetaData + numFeatures + i] = paramVals[i];
     } */
    System.arraycopy(outputs, 0, myVals, numMetaData + numInputs, outputs.length);

    Instance in = new Instance(1.0, myVals);
    for (int i = 0; i < recordingMask.length; i++) {
        if (!recordingMask[i]) {
            in.setMissing(numMetaData + numInputs + i);
        } else {
            w.getDataManager().setNumExamplesPerOutput(i, w.getDataManager().getNumExamplesPerOutput(i) + 1);
            // outputInstanceCounts[i]++;
        }
    }
    in.setDataset(trainingInputs);
    trainingInputs.add(in);
    //setHasInstances(true);
    //fireStateChanged();
    //throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}

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From source file:wekimini.OutputGenerator.java

public void addToStorage(double[] inputs, double[] outputs, boolean[] recordingMask, int recordingRound) {

    int thisId = nextID;
    nextID++;/*  www.j a v  a 2  s .  c  om*/

    double myVals[] = new double[numMetaData + numInputs + numOutputs];
    myVals[idIndex] = thisId;
    myVals[recordingRoundIndex] = recordingRound;

    Date now = new Date();
    //myVals[timestampIndex] = Double.parseDouble(dateFormat.format(now)); //Error: This gives us scientific notation!

    String pretty = prettyDateFormat.format(now);
    try {
        myVals[timestampIndex] = storedOutputs.attribute(timestampIndex).parseDate(pretty);
        //myVals[timestampIndex] =
    } catch (ParseException ex) {
        myVals[timestampIndex] = 0;
        Logger.getLogger(DataManager.class.getName()).log(Level.SEVERE, null, ex);
    }

    /*for (int i = 0; i < numInputs; i++) {
     myVals[numMetaData + i] = featureVals[i];
     } */
    System.arraycopy(inputs, 0, myVals, numMetaData, inputs.length); //TODO DOUBLECHECK

    /*for (int i = 0; i < numParams; i++) {
     if (isParamDiscrete[i] && (paramVals[i] < 0 || paramVals[i] >= numParamValues[i])) {
     throw new IllegalArgumentException("Invalid value for this discrete parameter");
     }
            
     myVals[numMetaData + numFeatures + i] = paramVals[i];
     } */
    System.arraycopy(outputs, 0, myVals, numMetaData + numInputs, outputs.length);

    Instance in = new Instance(1.0, myVals);
    for (int i = 0; i < recordingMask.length; i++) {
        if (!recordingMask[i]) {
            in.setMissing(numMetaData + numInputs + i);
        } else {
            w.getDataManager().setNumExamplesPerOutput(i, w.getDataManager().getNumExamplesPerOutput(i) + 1);
            // outputInstanceCounts[i]++;
        }
    }
    in.setDataset(storedOutputs);
    storedOutputs.add(in);
    //setHasInstances(true);
    //fireStateChanged();
    //throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}

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From source file:wekimini.OutputGenerator.java

public void addToTrainingOutputs(double[] inputs, double[] outputs, boolean[] recordingMask,
        int recordingRound) {

    int thisId = nextID;
    nextID++;//from  w  w w  . j a v a  2 s .c  om

    double myVals[] = new double[numMetaData + numInputs + numOutputs];
    myVals[idIndex] = thisId;
    myVals[recordingRoundIndex] = recordingRound;

    Date now = new Date();
    //myVals[timestampIndex] = Double.parseDouble(dateFormat.format(now)); //Error: This gives us scientific notation!

    String pretty = prettyDateFormat.format(now);
    try {
        myVals[timestampIndex] = trainingOutputs.attribute(timestampIndex).parseDate(pretty);
        //myVals[timestampIndex] =
    } catch (ParseException ex) {
        myVals[timestampIndex] = 0;
        Logger.getLogger(DataManager.class.getName()).log(Level.SEVERE, null, ex);
    }

    /*for (int i = 0; i < numInputs; i++) {
     myVals[numMetaData + i] = featureVals[i];
     } */
    System.arraycopy(inputs, 0, myVals, numMetaData, inputs.length); //TODO DOUBLECHECK

    /*for (int i = 0; i < numParams; i++) {
     if (isParamDiscrete[i] && (paramVals[i] < 0 || paramVals[i] >= numParamValues[i])) {
     throw new IllegalArgumentException("Invalid value for this discrete parameter");
     }
            
     myVals[numMetaData + numFeatures + i] = paramVals[i];
     } */
    System.arraycopy(outputs, 0, myVals, numMetaData + numInputs, outputs.length);

    Instance in = new Instance(1.0, myVals);
    for (int i = 0; i < recordingMask.length; i++) {
        if (!recordingMask[i]) {
            in.setMissing(numMetaData + numInputs + i);
        } else {
            w.getDataManager().setNumExamplesPerOutput(i, w.getDataManager().getNumExamplesPerOutput(i) + 1);
            // outputInstanceCounts[i]++;
        }
    }
    in.setDataset(trainingOutputs);
    trainingOutputs.add(in);
    //setHasInstances(true);
    //fireStateChanged();
    //throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}

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