?? j48.java
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} } /** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ public String [] getOptions() { String [] options = new String [10]; int current = 0; if (m_noCleanup) { options[current++] = "-L"; } if (m_unpruned) { options[current++] = "-U"; } else { if (!m_subtreeRaising) { options[current++] = "-S"; } if (m_reducedErrorPruning) { options[current++] = "-R"; options[current++] = "-N"; options[current++] = "" + m_numFolds; } else { options[current++] = "-C"; options[current++] = "" + m_CF; } } if (m_binarySplits) { options[current++] = "-B"; } options[current++] = "-M"; options[current++] = "" + m_minNumObj; if (m_useLaplace) { options[current++] = "-A"; } while (current < options.length) { options[current++] = ""; } return options; } /** * Get the value of useLaplace. * * @return Value of useLaplace. */ public boolean getUseLaplace() { return m_useLaplace; } /** * Set the value of useLaplace. * * @param newuseLaplace Value to assign to useLaplace. */ public void setUseLaplace(boolean newuseLaplace) { m_useLaplace = newuseLaplace; } /** * Returns a description of the classifier. */ public String toString() { if (m_root == null) { return "No classifier built"; } if (m_unpruned) return "J48 unpruned tree\n------------------\n" + m_root.toString(); else return "J48 pruned tree\n------------------\n" + m_root.toString(); } /** * Returns a superconcise version of the model */ public String toSummaryString() { return "Number of leaves: " + m_root.numLeaves() + "\n" + "Size of the tree: " + m_root.numNodes() + "\n"; } /** * Returns the size of the tree * @return the size of the tree */ public double measureTreeSize() { return m_root.numNodes(); } /** * Returns the number of leaves * @return the number of leaves */ public double measureNumLeaves() { return m_root.numLeaves(); } /** * Returns the number of rules (same as number of leaves) * @return the number of rules */ public double measureNumRules() { return m_root.numLeaves(); } /** * Returns an enumeration of the additional measure names * @return an enumeration of the measure names */ public Enumeration enumerateMeasures() { Vector newVector = new Vector(3); newVector.addElement("measureTreeSize"); newVector.addElement("measureNumLeaves"); newVector.addElement("measureNumRules"); return newVector.elements(); } /** * Returns the value of the named measure * @param measureName the name of the measure to query for its value * @return the value of the named measure * @exception IllegalArgumentException if the named measure is not supported */ public double getMeasure(String additionalMeasureName) { if (additionalMeasureName.compareTo("measureNumRules") == 0) { return measureNumRules(); } else if (additionalMeasureName.compareTo("measureTreeSize") == 0) { return measureTreeSize(); } else if (additionalMeasureName.compareTo("measureNumLeaves") == 0) { return measureNumLeaves(); } else { throw new IllegalArgumentException(additionalMeasureName + " not supported (j48)"); } } /** * Get the value of unpruned. * * @return Value of unpruned. */ public boolean getUnpruned() { return m_unpruned; } /** * Set the value of unpruned. Turns reduced-error pruning * off if set. * @param v Value to assign to unpruned. */ public void setUnpruned(boolean v) { if (v) { m_reducedErrorPruning = false; } m_unpruned = v; } /** * Get the value of CF. * * @return Value of CF. */ public float getConfidenceFactor() { return m_CF; } /** * Set the value of CF. * * @param v Value to assign to CF. */ public void setConfidenceFactor(float v) { m_CF = v; } /** * Get the value of minNumObj. * * @return Value of minNumObj. */ public int getMinNumObj() { return m_minNumObj; } /** * Set the value of minNumObj. * * @param v Value to assign to minNumObj. */ public void setMinNumObj(int v) { m_minNumObj = v; } /** * Get the value of reducedErrorPruning. * * @return Value of reducedErrorPruning. */ public boolean getReducedErrorPruning() { return m_reducedErrorPruning; } /** * Set the value of reducedErrorPruning. Turns * unpruned trees off if set. * * @param v Value to assign to reducedErrorPruning. */ public void setReducedErrorPruning(boolean v) { if (v) { m_unpruned = false; } m_reducedErrorPruning = v; } /** * Get the value of numFolds. * * @return Value of numFolds. */ public int getNumFolds() { return m_numFolds; } /** * Set the value of numFolds. * * @param v Value to assign to numFolds. */ public void setNumFolds(int v) { m_numFolds = v; } /** * Get the value of binarySplits. * * @return Value of binarySplits. */ public boolean getBinarySplits() { return m_binarySplits; } /** * Set the value of binarySplits. * * @param v Value to assign to binarySplits. */ public void setBinarySplits(boolean v) { m_binarySplits = v; } /** * Get the value of subtreeRaising. * * @return Value of subtreeRaising. */ public boolean getSubtreeRaising() { return m_subtreeRaising; } /** * Set the value of subtreeRaising. * * @param v Value to assign to subtreeRaising. */ public void setSubtreeRaising(boolean v) { m_subtreeRaising = v; } /** * Check whether instance data is to be saved. * * @return true if instance data is saved */ public boolean getSaveInstanceData() { return m_noCleanup; } /** * Set whether instance data is to be saved. * @param v true if instance data is to be saved */ public void setSaveInstanceData(boolean v) { m_noCleanup = v; } /** * Main method for testing this class * * @param String options */ public static void main(String [] argv){ try { System.out.println(Evaluation.evaluateModel(new J48(), argv)); } catch (Exception e) { System.err.println(e.getMessage()); } }}
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