NAME

       mlpack_decision_tree - decision tree

SYNOPSIS

        mlpack_decision_tree [-h] [-v]

DESCRIPTION

       Train  and evaluate using a decision tree. Given a dataset containing numeric features and
       associated labels for each point in the dataset, this program can train a decision tree on
       that data.

       The  training  file  and  associated  labels  are  specified  with the --training_file and
       --labels_file options, respectively. The labels should be in the range [0,  num_classes  -
       1].

       When a model is trained, it may be saved to file with the --output_model_file (-M) option.
       A model may be loaded from file for predictions with the --input_model_file  (-m)  option.
       The  --input_model_file  option  may  not  be specified when the --training_file option is
       specified. The --minimum_leaf_size (-n) parameter specifies the minimum number of training
       points that must fall into each leaf for it to be split. If --print_training_error (-e) is
       specified, the training error will be printed.

       A file containing test data may be specified with the  --test_file  (-T)  option,  and  if
       performance  numbers  are  desired  for  that  test  set, labels may be specified with the
       --test_labels_file (-L) option. Predictions ffor each test point may be  stored  into  the
       file  specified  by  the  --predictions_file  (-p)  option.  Class  probabilities for each
       prediction will be stored in the file specified by the --probabilities_file (-P) option.

OPTIONAL INPUT OPTIONS

       --help (-h)
              Default help info.

       --info [string]
              Get help on a specific module or option.   Default  value  ''.   --input_model_file
              (-m)  [string]  File  to  load pre-trained decision tree from, to be used with test
              points. Default value ''.

       --labels_file (-l) [string]
              File containing training labels. Default value ’'.  --minimum_leaf_size (-n)  [int]
              Minimum  number  of  points  in a leaf. Default value 20.  --output_model_file (-M)
              [string]  File  to   save   trained   decision   tree   to.   Default   value   ''.
              --predictions_file  (-p)  [string]  File to save class predictions to for each test
              point. Default value ''.

       --print_training_error (-e)
              Print the training error.  --probabilities_file (-P) [string] File  to  save  class
              probabilities to for each test point. Default value ''.

       --test_file (-T) [string]
              File  containing  test  points. Default value ''.  --test_labels_file (-L) [string]
              File containing test labels, if accuracy calculation is desired. Default value  ''.
              --training_file (-t) [string] File containing training points. 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.

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_decision_tree(16 November 2017)