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)