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Object org.apache.spark.mllib.feature.ChiSqSelector
public class ChiSqSelector
:: Experimental :: Creates a ChiSquared feature selector. param: numTopFeatures number of features that selector will select (ordered by statistic value descending)
Constructor Summary | |
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ChiSqSelector(int numTopFeatures)
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Method Summary | |
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ChiSqSelectorModel |
fit(RDD<LabeledPoint> data)
Returns a ChiSquared feature selector. |
int |
numTopFeatures()
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Methods inherited from class Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public ChiSqSelector(int numTopFeatures)
Method Detail |
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public int numTopFeatures()
public ChiSqSelectorModel fit(RDD<LabeledPoint> data)
data
- an RDD[LabeledPoint]
containing the labeled dataset with categorical features.
Real-valued features will be treated as categorical for each distinct value.
Apply feature discretizer before using this function.
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