xenial (1) mlpack_det.1.gz

NAME

       mlpack_det - density estimation with density estimation trees

SYNOPSIS

        mlpack_det [-h] [-v] [-f int] [-m string] [-L int] [-l int] [-M string] [-T string] [-E string] [-t string] [-e string] [-V] [-i string]

DESCRIPTION

       This  program  performs  a  number  of functions related to Density Estimation Trees. The optimal Density
       Estimation Tree (DET) can be trained on a set of data (specified by --training_file or -t)  using  cross-
       validation  (with number of folds specified by --folds). This trained density estimation tree may then be
       saved to a model file with the --output_model_file (-M) option.

       The variable importances of each dimension may be saved with the --vi_file (-i) option, and  the  density
       estimates    on    each    training   point   may   be   saved   to   the   file   specified   with   the
       --training_set_estimates_file (-e) option.

       This program also can provide density estimates for a set of test points, specified  in  the  --test_file
       (-T)  file. The density estimation tree used for this task will be the tree that was trained on the given
       training points, or a tree stored in the file given  with  the  --input_model_file  (-m)  parameter.  The
       density   estimates   for   the   test   points   may   be   saved  into  the  file  specified  with  the
       --test_set_estimates_file (-E) option.

OPTIONS

       --folds (-f) [int]
              The number of folds of cross-validation to perform for the estimation (0 is LOOCV)  Default  value
              10.

       --help (-h)
              Default help info.

       --info [string]
              Get help on a specific module or option.  Default value ''.  --input_model_file (-m) [string] File
              containing already trained density estimation tree. Default value ''.

       --max_leaf_size (-L) [int]
              The maximum size of a leaf in the unpruned, fully grown DET. Default value 10.

       --min_leaf_size (-l) [int]
              The minimum size of a leaf in the unpruned, fully grown DET. Default value 5.  --output_model_file
              (-M) [string] File to save trained density estimation tree to.  Default value ''.

       --test_file (-T) [string]
              A  set  of  test  points to estimate the density of.  Default value ''.  --test_set_estimates_file
              (-E) [string] The file in which to output the estimates on the test set from the  final  optimally
              pruned  tree.   Default  value ''.  --training_file (-t) [string] The data set on which to build a
              density estimation tree. Default value ''.  --training_set_estimates_file (-e) [string]  The  file
              in which to output the density estimates on the training set from the final optimally pruned tree.
              Default value ''.

       --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.

       --vi_file (-i) [string]
              The file to output the variable importance values for each feature. Default value ''.

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_det(1)