1mlpack_det(1)               General Commands Manual              mlpack_det(1)
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NAME

6       mlpack_det - density estimation with density estimation trees
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SYNOPSIS

9        mlpack_det [-h] [-v]
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DESCRIPTION

12       This  program performs a number of functions related to Density Estima‐
13       tion Trees. The optimal Density Estimation Tree (DET) can be trained on
14       a  set of data (specified by --training_file or -t) using cross-valida‐
15       tion (with number of folds specified by --folds). This trained  density
16       estimation  tree  may  then  be  saved  to a model file with the --out‐
17       put_model_file (-M) option.
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19       The variable importances of  each  dimension  may  be  saved  with  the
20       --vi_file (-i) option, and the density estimates on each training point
21       may be saved  to  the  file  specified  with  the  --training_set_esti‐
22       mates_file (-e) option.
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24       This  program  also  can  provide  density  estimates for a set of test
25       points, specified in the --test_file (-T) file. The density  estimation
26       tree  used for this task will be the tree that was trained on the given
27       training  points,  or  a  tree  stored  in  the  file  given  with  the
28       --input_model_file  (-m)  parameter. The density estimates for the test
29       points may be saved into the file specified with  the  --test_set_esti‐
30       mates_file (-E) option.
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OPTIONAL INPUT OPTIONS

33       --folds (-f) [int]
34              The number of folds of cross-validation to perform for the esti‐
35              mation (0 is LOOCV) Default value 10.
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37       --help (-h)
38              Default help info.
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40       --info [string]
41              Get help on a specific module  or  option.   Default  value  ''.
42              --input_model_file (-m) [string] File containing already trained
43              density estimation tree. Default value ''.
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45       --max_leaf_size (-L) [int]
46              The maximum size of a leaf in the  unpruned,  fully  grown  DET.
47              Default value 10.
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49       --min_leaf_size (-l) [int]
50              The  minimum  size  of  a leaf in the unpruned, fully grown DET.
51              Default value 5.
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53       --test_file (-T) [string]
54              A set of test points to estimate the density of.  Default  value
55              ''.   --training_file  (-t)  [string]  The  data set on which to
56              build a density estimation tree. Default value ''.
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58       --verbose (-v)
59              Display informational messages and the full list  of  parameters
60              and timers at the end of execution.
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62       --version (-V)
63              Display the version of mlpack.
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OPTIONAL OUTPUT OPTIONS

66       --output_model_file  (-M) [string] File to save trained density estima‐
67       tion  tree  to.   Default  value  ''.   --test_set_estimates_file  (-E)
68       [string] The file in which to output the estimates on the test set from
69       the  final  optimally  pruned  tree.   Default  value   ''.    --train‐
70       ing_set_estimates_file  (-e)  [string]  The file in which to output the
71       density estimates on the training set from the final  optimally  pruned
72       tree. Default value ''.
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74       --vi_file (-i) [string]
75              The  file to output the variable importance values for each fea‐
76              ture. Default value ''.
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ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

80       For further information, including relevant papers, citations, and the‐
81       ory, For further information, including relevant papers, citations, and
82       theory, consult the documentation  found  at  http://www.mlpack.org  or
83       included    with    your    consult    the   documentation   found   at
84       http://www.mlpack.org or included with  your  DISTRIBUTION  OF  MLPACK.
85       DISTRIBUTION OF MLPACK.
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