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java.lang.Object edu.cmu.minorthird.classify.transform.FrequencyBasedTransformLearner
public class FrequencyBasedTransformLearner
A simple feature filter based on their frequency of occurrence. The frequency model is resposible for deciding 'what to count'. If set to "document" this filter counts the number of documents which contain a Feature; if set to "word" this filter counts the number of times a Feature appears in the whole dataset.
Constructor Summary | |
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FrequencyBasedTransformLearner()
Default constructor, for use in gui. |
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FrequencyBasedTransformLearner(int minimumFrequency)
This will "learn" an InstanceTransform that discards instances which appear in minimumFrequency or fewer examples. |
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FrequencyBasedTransformLearner(int minimumFrequency,
java.lang.String frequencyModel)
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Method Summary | |
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InstanceTransform |
batchTrain(Dataset dataset)
Examine data, build an instance transformer |
void |
setSchema(ExampleSchema schema)
The schema's not used here... |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public FrequencyBasedTransformLearner()
public FrequencyBasedTransformLearner(int minimumFrequency)
public FrequencyBasedTransformLearner(int minimumFrequency, java.lang.String frequencyModel)
Method Detail |
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public void setSchema(ExampleSchema schema)
setSchema
in interface InstanceTransformLearner
public InstanceTransform batchTrain(Dataset dataset)
InstanceTransformLearner
batchTrain
in interface InstanceTransformLearner
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