bionic (1) mlpack_decision_tree.1.gz

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)