How to create a Indexed Row Matrix in Scala Spark which is random for given dimensions
0
I want to create an Indexed Row Matrix in Scala - Spark which has random values in the vector.
I have been able to create a local array using the code below but it messes up for large dimensions -
import org.apache.spark.mllib.random.RandomRDDs._
import scala.util.Random
var r = scala.util.Random
var populationSize = 15
var chromosomeLength = 4
var randomPopulation = Array.fill(populationSize,chromosomeLength{r.nextFloat}
This should yield something like this
[1, [random vector of length 4]
2 , [random vector of length 4] ....15 [random vector of length 4] ]
which is an Indexed Row Matrix .
scala apache-spark
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
add a comment |
0
I want to create an Indexed Row Matrix in Scala - Spark which has random values in the vector.
I have been able to create a local array using the code below but it messes up for large dimensions -
import org.apache.spark.mllib.random.RandomRDDs._
import scala.util.Random
var r = scala.util.Random
var populationSize = 15
var chromosomeLength = 4
var randomPopulation = Array.fill(populationSize,chromosomeLength{r.nextFloat}
This should yield something like this
[1, [random vector of length 4]
2 , [random vector of length 4] ....15 [random vector of length 4] ]
which is an Indexed Row Matrix .
scala apache-spark
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
add a comment |
0
0
0
I want to create an Indexed Row Matrix in Scala - Spark which has random values in the vector.
I have been able to create a local array using the code below but it messes up for large dimensions -
import org.apache.spark.mllib.random.RandomRDDs._
import scala.util.Random
var r = scala.util.Random
var populationSize = 15
var chromosomeLength = 4
var randomPopulation = Array.fill(populationSize,chromosomeLength{r.nextFloat}
This should yield something like this
[1, [random vector of length 4]
2 , [random vector of length 4] ....15 [random vector of length 4] ]
which is an Indexed Row Matrix .
scala apache-spark
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
I want to create an Indexed Row Matrix in Scala - Spark which has random values in the vector.
I have been able to create a local array using the code below but it messes up for large dimensions -
import org.apache.spark.mllib.random.RandomRDDs._
import scala.util.Random
var r = scala.util.Random
var populationSize = 15
var chromosomeLength = 4
var randomPopulation = Array.fill(populationSize,chromosomeLength{r.nextFloat}
This should yield something like this
[1, [random vector of length 4]
2 , [random vector of length 4] ....15 [random vector of length 4] ]
which is an Indexed Row Matrix .
scala apache-spark
scala apache-spark
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
asked Nov 16 '18 at 10:44
LeothornLeothorn
4101926
4101926
add a comment |
add a comment |
1 Answer
1
active
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Plain and simple
import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.mllib.linalg.distributed.{IndexedRowMatrix, IndexedRow}
new IndexedRowMatrix(
RandomRDDs.uniformVectorRDD(sc, populationSize, chromosomeLength)
.zipWithIndex.map { case (v, i) => IndexedRow(i, v) }
)
where sc is an instance of SparkContext or
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
Plain and simple
import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.mllib.linalg.distributed.{IndexedRowMatrix, IndexedRow}
new IndexedRowMatrix(
RandomRDDs.uniformVectorRDD(sc, populationSize, chromosomeLength)
.zipWithIndex.map { case (v, i) => IndexedRow(i, v) }
)
where sc is an instance of SparkContext or
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
add a comment |
1
Plain and simple
import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.mllib.linalg.distributed.{IndexedRowMatrix, IndexedRow}
new IndexedRowMatrix(
RandomRDDs.uniformVectorRDD(sc, populationSize, chromosomeLength)
.zipWithIndex.map { case (v, i) => IndexedRow(i, v) }
)
where sc is an instance of SparkContext or
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
add a comment |
1
1
1
Plain and simple
import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.mllib.linalg.distributed.{IndexedRowMatrix, IndexedRow}
new IndexedRowMatrix(
RandomRDDs.uniformVectorRDD(sc, populationSize, chromosomeLength)
.zipWithIndex.map { case (v, i) => IndexedRow(i, v) }
)
where sc is an instance of SparkContext or
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
Plain and simple
import org.apache.spark.mllib.random.RandomRDDs
import org.apache.spark.mllib.linalg.distributed.{IndexedRowMatrix, IndexedRow}
new IndexedRowMatrix(
RandomRDDs.uniformVectorRDD(sc, populationSize, chromosomeLength)
.zipWithIndex.map { case (v, i) => IndexedRow(i, v) }
)
where sc is an instance of SparkContext or
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
edited Nov 16 '18 at 10:57
user6910411
35.6k1089110
35.6k1089110
answered Nov 16 '18 at 10:53
user10662441
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
add a comment |
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
How do you print this ?
– Leothorn
Nov 16 '18 at 11:02
add a comment |
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