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 explainedVariance: DenseVector
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- val pc: DenseMatrix
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- def transform(vector: Vector): Vector
Transform 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.
- returns
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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- Deprecated
(Since version 9)