class IDFModel extends Serializable
Represents an IDF model that can transform term frequency vectors.
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- @Since( "1.1.0" )
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- IDF.scala
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val
docFreq: Array[Long]
- Annotations
- @Since( "3.0.0" )
-
val
idf: Vector
- Annotations
- @Since( "1.1.0" )
-
val
numDocs: Long
- Annotations
- @Since( "3.0.0" )
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def
transform(dataset: JavaRDD[Vector]): JavaRDD[Vector]
Transforms term frequency (TF) vectors to TF-IDF vectors (Java version).
Transforms term frequency (TF) vectors to TF-IDF vectors (Java version).
- dataset
a JavaRDD of term frequency vectors
- returns
a JavaRDD of TF-IDF vectors
- Annotations
- @Since( "1.1.0" )
-
def
transform(v: Vector): Vector
Transforms a term frequency (TF) vector to a TF-IDF vector
Transforms a term frequency (TF) vector to a TF-IDF vector
- v
a term frequency vector
- returns
a TF-IDF vector
- Annotations
- @Since( "1.3.0" )
-
def
transform(dataset: RDD[Vector]): RDD[Vector]
Transforms term frequency (TF) vectors to TF-IDF vectors.
Transforms term frequency (TF) vectors to TF-IDF vectors.
If
minDocFreq
was set for the IDF calculation, the terms which occur in fewer thanminDocFreq
documents will have an entry of 0.- dataset
an RDD of term frequency vectors
- returns
an RDD of TF-IDF vectors
- Annotations
- @Since( "1.1.0" )