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java.lang.Objectorg.knime.base.node.mine.decisiontree2.learner.Split
org.knime.base.node.mine.decisiontree2.learner.SplitContinuous
public class SplitContinuous
This class determines the best split for a numeric attribute.
Field Summary |
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Fields inherited from class org.knime.base.node.mine.decisiontree2.learner.Split |
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m_splitQualityMeasure |
Constructor Summary | |
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SplitContinuous(InMemoryTable table,
int attributeIndex,
SplitQualityMeasure splitQualityMeasure,
boolean averageSplitpoint,
double minObjectsCount)
Constructs the best split for the given numeric attribute list and the class distribution. |
Method Summary | |
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boolean |
canBeFurtherUsed()
For numeric splits it makes sense to use the corresponding atribute in deeper levels. |
double |
getBestSplitValue()
Returns the split value which was evaluated as the best according to the induced partition purity. |
int |
getNumberPartitions()
The number of partitions of a numeric split is always 2. |
int |
getPartitionForRow(DataRowWeighted row)
Returns the partition the given row belongs to according to this split. |
double[] |
getPartitionWeights()
Returns the partition weights. |
String |
toString()
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Methods inherited from class org.knime.base.node.mine.decisiontree2.learner.Split |
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getAttributeIndex, getBestQualityMeasure, getQualityMeasureName, getSplitAttributeName, getTable, isValidSplit, setBestQualityMeasure |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public SplitContinuous(InMemoryTable table, int attributeIndex, SplitQualityMeasure splitQualityMeasure, boolean averageSplitpoint, double minObjectsCount)
table
- the table with the data for which to create the splitattributeIndex
- the index of the attribute for which to create the
splitsplitQualityMeasure
- the quality measure (e.g. gini or gain
ratio)averageSplitpoint
- if true, the split point is set as the average
of the partition borders, else the upper value of the lower
partition is usedminObjectsCount
- the minimum number of objects in at least two
partitionsMethod Detail |
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public double getBestSplitValue()
public int getNumberPartitions()
getNumberPartitions
in class Split
public boolean canBeFurtherUsed()
canBeFurtherUsed
in class Split
public int getPartitionForRow(DataRowWeighted row)
getPartitionForRow
in class Split
row
- the row for which to get the partition index
public double[] getPartitionWeights()
getPartitionWeights
in class Split
public String toString()
toString
in class Split
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