mog_l2e_main.cc File Reference

Include dependency graph for mog_l2e_main.cc:

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Functions
int	main (int argc, char *argv[])
Variables
const fx_module_doc	mog_l2e_main_doc
const fx_entry_doc	mog_l2e_main_entries []
const fx_submodule_doc	mog_l2e_main_submodules []

---

Detailed Description

Author:

Parikshit Ram (pram@cc.gatech.edu)

This program test drives the L2 estimation of a Gaussian Mixture model.

PARAMETERS TO BE INPUT:

--data This is the file that contains the data on which the model is to be fit

--mog_l2e/K This is the number of gaussians we want to fit on the data, defaults to '1'

--output This file will contain the parameters estimated, defaults to 'output.csv'

Definition in file mog_l2e_main.cc.

---

Variable Documentation

const fx_module_doc mog_l2e_main_doc

Initial value:

 {
  mog_l2e_main_entries, mog_l2e_main_submodules,
  " This program test drives the parametric estimation "
  "of a Gaussian mixture model using L2 loss function.\n"
}

Definition at line 78 of file mog_l2e_main.cc.

const fx_entry_doc mog_l2e_main_entries[]

Initial value:

 {
  {"data", FX_REQUIRED, FX_STR, NULL,
   " A file containing the data on which the model"
   " has to be fit.\n"},
  {"output", FX_PARAM, FX_STR, NULL,
   " The file into which the output is to be written into.\n"},
  FX_ENTRY_DOC_DONE
}

Definition at line 59 of file mog_l2e_main.cc.

const fx_submodule_doc mog_l2e_main_submodules[]

Initial value:

 {
  {"mog_l2e", &mog_l2e_doc,
   " Responsible for intializing the model and"
   " computing the parameters.\n"},
   {"opt", &opt_doc,
    " Responsible for minimizing the L2 loss function"
    " and obtaining the parameter values.\n"},
  FX_SUBMODULE_DOC_DONE
}

Definition at line 68 of file mog_l2e_main.cc.