class ChiSqSelectorModel extends VectorTransformer with Saveable
Chi Squared selector model.
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- @Since( "1.3.0" )
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- ChiSqSelector.scala
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new
ChiSqSelectorModel(selectedFeatures: Array[Int])
- selectedFeatures
list of indices to select (filter).
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- @Since( "1.3.0" )
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def
save(sc: SparkContext, path: String): Unit
Save this model to the given path.
Save this model to the given path.
This saves:
- human-readable (JSON) model metadata to path/metadata/
- Parquet formatted data to path/data/
The model may be loaded using
Loader.load
.- sc
Spark context used to save model data.
- path
Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.
- Definition Classes
- ChiSqSelectorModel → Saveable
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- @Since( "1.6.0" )
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val
selectedFeatures: Array[Int]
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- @Since( "1.3.0" )
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def
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def
transform(vector: Vector): Vector
Applies transformation on a vector.
Applies transformation on a vector.
- vector
vector to be transformed.
- returns
transformed vector.
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- ChiSqSelectorModel → VectorTransformer
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- @Since( "1.3.0" )
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def
transform(data: JavaRDD[Vector]): JavaRDD[Vector]
Applies transformation on a JavaRDD[Vector].
Applies transformation on a JavaRDD[Vector].
- data
JavaRDD[Vector] to be transformed.
- returns
transformed JavaRDD[Vector].
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- VectorTransformer
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- @Since( "1.1.0" )
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def
transform(data: RDD[Vector]): RDD[Vector]
Applies transformation on an RDD[Vector].
Applies transformation on an RDD[Vector].
- data
RDD[Vector] to be transformed.
- returns
transformed RDD[Vector].
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