1mlpack_nbc(1) General Commands Manual mlpack_nbc(1)
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6 mlpack_nbc - parametric naive bayes classifier
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9 mlpack_nbc [-h] [-v]
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12 This program trains the Naive Bayes classifier on the given labeled
13 training set, or loads a model from the given model file, and then may
14 use that trained model to classify the points in a given test set.
15 Labels are expected to be the last row of the training set (--train‐
17 ing_file), but labels can also be passed in separately as their own
18 file (--labels_file). If training is not desired, a pre-existing model
19 can be loaded with the --input_model_file (-m) option.
20 The '--incremental_variance' option can be used to force the training
22 to use an incremental algorithm for calculating variance. This is
23 slower, but can help avoid loss of precision in some cases.
24 If classifying a test set is desired, the test set should be in the
26 file specified with the --test_file (-T) option, and the classifica‐
27 tions will be saved to the file specified with the --output_file (-o)
28 option. If saving a trained model is desired, the --output_model_file
29 (-M) option should be given.
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32 --help (-h)
33 Default help info.
34 --incremental_variance (-I)
36 The variance of each class will be calculated incrementally.
37 --info [string]
39 Get help on a specific module or option. Default value ''.
40 --input_model_file (-m) [string] File containing input Naive
41 Bayes model. Default value ''.
42 --labels_file (-l) [string]
44 A file containing labels for the training set. Default value
45 ''.
46 --test_file (-T) [string]
48 A file containing the test set. Default value ’'. --train‐
49 ing_file (-t) [string] A file containing the training set.
50 Default value ''.
51 --verbose (-v)
53 Display informational messages and the full list of parameters
54 and timers at the end of execution.
55 --version (-V)
57 Display the version of mlpack.
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60 --output_file (-o) [string]
61 The file in which the predicted labels for the test set will be
62 written. Default value ''. --output_model_file (-M) [string]
63 File to save trained Naive Bayes model to. Default value ''.
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67 For further information, including relevant papers, citations, and the‐
68 ory, For further information, including relevant papers, citations, and
69 theory, consult the documentation found at http://www.mlpack.org or
70 included with your consult the documentation found at
71 http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK.
72 DISTRIBUTION OF MLPACK.
73 mlpack_nbc(1)