class PCAModel extends VectorTransformer
Model fitted by PCA that can project vectors to a low-dimensional space using PCA.
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- @Since("1.4.0")
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- PCA.scala
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- PCAModel
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-    val pc: DenseMatrix- Annotations
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-    def transform(vector: Vector): VectorTransform a vector by computed Principal Components. Transform a vector by computed Principal Components. - vector
- vector to be transformed. Vector must be the same length as the source vectors given to - PCA.fit().
- returns
- transformed vector. Vector will be of length k. 
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- PCAModel → VectorTransformer
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- @Since("1.4.0")
 
-    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. 
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- transformed JavaRDD[Vector]. 
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- VectorTransformer
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- @Since("1.1.0")
 
-    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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- VectorTransformer
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- @Since("1.1.0")
 
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- Deprecated
- (Since version 9)