org.apache.sysds.runtime.matrix.data

## Class LibMatrixDatagen

- java.lang.Object
- - org.apache.sysds.runtime.matrix.data.LibMatrixDatagen

-     public class LibMatrixDatagen
      extends Object

- - ### Method Summary

    All Methods Static Methods Concrete Methods Deprecated Methods
    Modifier and Type | Method and Description
    --- | ---
    `static LongStream` | `computeNNZperBlock(long nrow, long ncol, int blen, double sparsity)` Deprecated.
    `static RandomMatrixGenerator` | `createRandomMatrixGenerator(String pdfStr, int r, int c, int blen, double sp, double min, double max, String distParams)`
    `static void` | `generateRandomMatrix(MatrixBlock out, RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed)` Function to generate a matrix of random numbers.
    `static void` | `generateRandomMatrix(MatrixBlock out, RandomMatrixGenerator rgen, org.apache.commons.math3.random.Well1024a bigrand, long bSeed, int k)` Function to generate a matrix of random numbers.
    `static void` | `generateSample(MatrixBlock out, long range, int size, boolean replace, long seed)` Generates a sample of size `size` from a range of values [1,range].
    `static void` | `generateSequence(MatrixBlock out, double from, double to, double incr)` Method to generate a sequence according to the given parameters.
    `static String` | `generateUniqueSeedPath(String basedir)`
    `static boolean` | `isShortcutRandOperation(double min, double max, double sparsity, org.apache.sysds.runtime.matrix.data.RandomMatrixGenerator.PDF pdf)`
    `static org.apache.commons.math3.random.Well1024a` | `setupSeedsForRand(long seed)` A matrix of random numbers is generated by using multiple seeds, one for each block.
    `static double` | `updateSeqIncr(double seq_from, double seq_to, double seq_incr)`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Method Detail

    - #### isShortcutRandOperation

          public static boolean isShortcutRandOperation(double min,
                                                        double max,
                                                        double sparsity,
                                                        org.apache.sysds.runtime.matrix.data.RandomMatrixGenerator.PDF pdf)

    - #### updateSeqIncr

          public static double updateSeqIncr(double seq_from,
                                             double seq_to,
                                             double seq_incr)

    - #### generateUniqueSeedPath

          public static String generateUniqueSeedPath(String basedir)

    - #### setupSeedsForRand

          public static org.apache.commons.math3.random.Well1024a setupSeedsForRand(long seed)

      A matrix of random numbers is generated by using multiple seeds, one for each block. Such block-level seeds are produced via Well equidistributed long-period linear generator (Well1024a). For a given seed, this function sets up the block-level seeds. This function is invoked from both CP (RandCPInstruction.processInstruction()) as well as MR (RandMR.java while setting up the Rand job).
      Parameters:
        `seed` - seed for random generator
      Returns:
        Well1024a pseudo-random number generator

    - #### computeNNZperBlock

          @Deprecated
          public static LongStream computeNNZperBlock(long nrow,
                                                                  long ncol,
                                                                  int blen,
                                                                  double sparsity)

      Deprecated.

    - #### createRandomMatrixGenerator

          public static RandomMatrixGenerator createRandomMatrixGenerator(String pdfStr,
                                                                          int r,
                                                                          int c,
                                                                          int blen,
                                                                          double sp,
                                                                          double min,
                                                                          double max,
                                                                          String distParams)

    - #### generateRandomMatrix

          public static void generateRandomMatrix(MatrixBlock out,
                                                  RandomMatrixGenerator rgen,
                                                  org.apache.commons.math3.random.Well1024a bigrand,
                                                  long bSeed)

      Function to generate a matrix of random numbers. This is invoked both from CP as well as from MR. In case of CP, it generates an entire matrix block-by-block. A `bigrand` is passed so that block-level seeds are generated internally. In case of MR, it generates a single block for given block-level seed `bSeed`. When pdf="uniform", cell values are drawn from uniform distribution in range `[min,max]`. When pdf="normal", cell values are drawn from standard normal distribution N(0,1). The range of generated values will always be (-Inf,+Inf).
      Parameters:
        `out` - output matrix block
        `rgen` - random matrix generator
        `bigrand` - Well1024a pseudo-random number generator
        `bSeed` - seed for random generator

    - #### generateRandomMatrix

          public static void generateRandomMatrix(MatrixBlock out,
                                                  RandomMatrixGenerator rgen,
                                                  org.apache.commons.math3.random.Well1024a bigrand,
                                                  long bSeed,
                                                  int k)

      Function to generate a matrix of random numbers. This is invoked both from CP as well as from MR. In case of CP, it generates an entire matrix block-by-block. A `bigrand` is passed so that block-level seeds are generated internally. In case of MR, it generates a single block for given block-level seed `bSeed`. When pdf="uniform", cell values are drawn from uniform distribution in range `[min,max]`. When pdf="normal", cell values are drawn from standard normal distribution N(0,1). The range of generated values will always be (-Inf,+Inf).
      Parameters:
        `out` - output matrix block
        `rgen` - random matrix generator
        `bigrand` - Well1024a pseudo-random number generator
        `bSeed` - seed for random generator
        `k` - ?

    - #### generateSequence

          public static void generateSequence(MatrixBlock out,
                                              double from,
                                              double to,
                                              double incr)

      Method to generate a sequence according to the given parameters. The generated sequence is always in dense format. Both end points specified `from` and `to` must be included in the generated sequence i.e., [from,to] both inclusive. Note that, `to` is included only if (to-from) is perfectly divisible by `incr`. For example, seq(0,1,0.5) generates (0.0 0.5 1.0) whereas seq(0,1,0.6) generates (0.0 0.6) but not (0.0 0.6 1.0)
      Parameters:
        `out` - output matrix block
        `from` - lower end point
        `to` - upper end point
        `incr` - increment value

    - #### generateSample

          public static void generateSample(MatrixBlock out,
                                            long range,
                                            int size,
                                            boolean replace,
                                            long seed)

      Generates a sample of size `size` from a range of values [1,range]. `replace` defines if sampling is done with or without replacement.
      Parameters:
        `out` - output matrix block
        `range` - range upper bound
        `size` - sample size
        `replace` - if true, sample with replacement
        `seed` - seed for random generator

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