xenial (1) mlpack_allkfn.1.gz

NAME

       mlpack_allkfn - all k-furthest-neighbors

SYNOPSIS

        mlpack_allkfn [-h] [-v] [-d string] [-m string] [-k int] [-l int] [-N] [-n string] [-M string] [-q string] [-R] [-r string] [--seed int] [-s] [-t string] -V

DESCRIPTION

       This  program will calculate the all k-furthest-neighbors of a set of points.  You may specify a separate
       set of reference points and query points, or just a  reference  set  which  will  be  used  as  both  the
       reference and query set.

       For  example, the following will calculate the 5 furthest neighbors of eachpoint in 'input.csv' and store
       the distances in 'distances.csv' and the neighbors in the file 'neighbors.csv':

       $ allkfn --k=5 --reference_file=input.csv --distances_file=distances.csv --neighbors_file=neighbors.csv

       The output files are organized such that row i and column j in the neighbors output file  corresponds  to
       the  index  of  the  point in the reference set which is the i'th furthest neighbor from the point in the
       query set with index j.  Row i and column j in the distances output  file  corresponds  to  the  distance
       between those two points.

OPTIONS

       --distances_file (-d) [string] File to output distances into. Default value ’'.

       --help (-h)
              Default help info.

       --info [string]
              Get help on a specific module or option.  Default value ''.  --input_model_file (-m) [string] File
              containing pre-trained kFN model. Default value ''.

       --k (-k) [int]
              Number of furthest neighbors to find. Default value 0.

       --leaf_size (-l) [int]
              Leaf size for tree building. Default value 20.

       --naive (-N)
              If true, O(n^2) naive mode is used for computation.  --neighbors_file (-n) [string] File to output
              neighbors  into.  Default value ’'.  --output_model_file (-M) [string] If specified, the kFN model
              will be saved to the given file. Default value ''.

       --query_file (-q) [string]
              File containing query points (optional).  Default value ''.

       --random_basis (-R)
              Before tree-building, project the data onto a  random  orthogonal  basis.   --reference_file  (-r)
              [string] File containing the reference dataset. Default value ''.

       --seed [int]
              Random seed (if 0, std::time(NULL) is used).  Default value 0.

       --single_mode (-s)
              If true, single-tree search is used (as opposed to dual-tree search).

       --tree_type (-t) [string]
              Type of tree to use: 'kd', 'cover', 'r', ’r-star', 'ball'. Default value 'kd'.

       --verbose (-v)
              Display informational messages and the full list of parameters and timers at the end of execution.

       --version (-V)
              Display the version of mlpack.

ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

       For  further  information,  including  relevant  papers,  citations, and theory, For further information,
       including   relevant   papers,   citations,   and   theory,   consult   the   documentation   found    at
       http://www.mlpack.org  or  included with your consult the documentation found at http://www.mlpack.org or
       included with your DISTRIBUTION OF MLPACK.  DISTRIBUTION OF MLPACK.

                                                                                                mlpack_allkfn(1)