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how to select specific column with Dimensionality Reduction pyspark

Akshay R answered on March 1, 2022 Popularity 1/10 Helpfulness 1/10

answer how to select specific column with Dimensionality Reduction pyspark

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how to select specific column with Dimensionality Reduction pyspark

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import org.apache.spark.mllib.linalg.Matrix
import org.apache.spark.mllib.linalg.SingularValueDecomposition
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.distributed.RowMatrix

val data = Array(
  Vectors.sparse(5, Seq((1, 1.0), (3, 7.0))),
  Vectors.dense(2.0, 0.0, 3.0, 4.0, 5.0),
  Vectors.dense(4.0, 0.0, 0.0, 6.0, 7.0))

val rows = sc.parallelize(data)

val mat: RowMatrix = new RowMatrix(rows)

// Compute the top 5 singular values and corresponding singular vectors.
val svd: SingularValueDecomposition[RowMatrix, Matrix] = mat.computeSVD(5, computeU = true)
val U: RowMatrix = svd.U  // The U factor is a RowMatrix.
val s: Vector = svd.s     // The singular values are stored in a local dense vector.
val V: Matrix = svd.V     // The V factor is a local dense matrix.

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Source: spark.apache.org

Tags: dimensionality-reduction pyspark select whatever

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Contributed on Mar 01 2022

Akshay R

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from pyspark.mllib.linalg import Vectors
from pyspark.mllib.linalg.distributed import RowMatrix

rows = sc.parallelize([
    Vectors.sparse(5, {1: 1.0, 3: 7.0}),
    Vectors.dense(2.0, 0.0, 3.0, 4.0, 5.0),
    Vectors.dense(4.0, 0.0, 0.0, 6.0, 7.0)
])

mat = RowMatrix(rows)

# Compute the top 5 singular values and corresponding singular vectors.
svd = mat.computeSVD(5, computeU=True)
U = svd.U       # The U factor is a RowMatrix.
s = svd.s       # The singular values are stored in a local dense vector.
V = svd.V       # The V factor is a local dense matrix.

Popularity 1/10 Helpfulness 1/10 Language python

Source: spark.apache.org

Tags: dimensionality-reduction pyspark python select

Link to this answer
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Contributed on Mar 01 2022

Akshay R

0 Answers Avg Quality 2/10

how to select specific column with Dimensionality Reduction pyspark

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