class HashingTF extends Serializable
Maps a sequence of terms to their term frequencies using the hashing trick.
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- HashingTF.scala
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- def indexOf(term: Any): Int
Returns the index of the input term.
Returns the index of the input term.
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- val numFeatures: Int
- def setBinary(value: Boolean): HashingTF.this.type
If true, term frequency vector will be binary such that non-zero term counts will be set to 1 (default: false)
If true, term frequency vector will be binary such that non-zero term counts will be set to 1 (default: false)
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- def setHashAlgorithm(value: String): HashingTF.this.type
Set the hash algorithm used when mapping term to integer.
Set the hash algorithm used when mapping term to integer. (default: murmur3)
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- def transform[D <: Iterable[_]](dataset: JavaRDD[D]): JavaRDD[Vector]
Transforms the input document to term frequency vectors (Java version).
Transforms the input document to term frequency vectors (Java version).
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- def transform[D <: Iterable[_]](dataset: RDD[D]): RDD[Vector]
Transforms the input document to term frequency vectors.
Transforms the input document to term frequency vectors.
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- def transform(document: Iterable[_]): Vector
Transforms the input document into a sparse term frequency vector (Java version).
Transforms the input document into a sparse term frequency vector (Java version).
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- @Since("1.1.0")
- def transform(document: Iterable[_]): Vector
Transforms the input document into a sparse term frequency vector.
Transforms the input document into a sparse term frequency vector.
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(Since version 9)