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Object org.apache.spark.mllib.feature.HashingTF
public class HashingTF
:: Experimental :: Maps a sequence of terms to their term frequencies using the hashing trick.
param: numFeatures number of features (default: 2^20^)
Constructor Summary | |
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HashingTF()
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HashingTF(int numFeatures)
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Method Summary | ||
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int |
indexOf(Object term)
Returns the index of the input term. |
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int |
numFeatures()
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Vector |
transform(Iterable<?> document)
Transforms the input document into a sparse term frequency vector (Java version). |
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Vector |
transform(scala.collection.Iterable<Object> document)
Transforms the input document into a sparse term frequency vector. |
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transform(JavaRDD<D> dataset)
Transforms the input document to term frequency vectors (Java version). |
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transform(RDD<D> dataset)
Transforms the input document to term frequency vectors. |
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 HashingTF(int numFeatures)
public HashingTF()
Method Detail |
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public int numFeatures()
public int indexOf(Object term)
term
- (undocumented)
public Vector transform(scala.collection.Iterable<Object> document)
document
- (undocumented)
public Vector transform(Iterable<?> document)
document
- (undocumented)
public <D extends scala.collection.Iterable<Object>> RDD<Vector> transform(RDD<D> dataset)
dataset
- (undocumented)
public <D extends Iterable<?>> JavaRDD<Vector> transform(JavaRDD<D> dataset)
dataset
- (undocumented)
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