simple_nbc.h File Reference

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Classes
class	SimpleNaiveBayesClassifier
	A classification class. More...
Variables
const fx_module_doc	parm_nbc_doc
const fx_entry_doc	parm_nbc_entries []
const fx_submodule_doc	parm_nbc_submodules []

---

Detailed Description

Author:

Parikshit Ram (pram@cc.gatech.edu)

A Naive Bayes Classifier which parametrically estimates the distribution of the features. It is assumed that the features have been sampled from a Gaussian PDF

Definition in file simple_nbc.h.

---

Variable Documentation

const fx_module_doc parm_nbc_doc

Initial value:

 {
  parm_nbc_entries, parm_nbc_submodules,
  " Trains the classifier using the training set and "
  "outputs the results for the test set\n"
}

Definition at line 69 of file simple_nbc.h.

const fx_entry_doc parm_nbc_entries[]

Initial value:

{
  {"training", FX_TIMER, FX_CUSTOM, NULL,
   " The timer to record the training time\n"},
  {"testing", FX_TIMER, FX_CUSTOM, NULL,
   " The timer to record the testing time\n"},
  {"classes", FX_REQUIRED, FX_INT, NULL,
   " The number of classes present in the data\n"},
  {"features", FX_RESULT, FX_INT, NULL,
   " The number of features in the data\n"},
  {"examples", FX_RESULT, FX_INT, NULL,
   " The number of examples in the training set\n"},
  {"tests", FX_RESULT, FX_INT, NULL,
   " The number of data points in the test set\n"},
  FX_ENTRY_DOC_DONE
}

Definition at line 49 of file simple_nbc.h.

const fx_submodule_doc parm_nbc_submodules[]

Initial value:

 {
  FX_SUBMODULE_DOC_DONE
}

Definition at line 65 of file simple_nbc.h.