/* test_model.c

Test routines for model selection.

Part of the data prediction package.

Copyright (c) 2010-2011 Matthias Kramm <kramm@quiss.org>

This program is free software; you can redistribute it and/or modify

it under the terms of the GNU General Public License as published by

the Free Software Foundation; either version 2 of the License, or

(at your option) any later version.

This program is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

GNU General Public License for more details.

You should have received a copy of the GNU General Public License

along with this program; if not, write to the Free Software

Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */

#include <stdio.h>

#include <stdlib.h>

#include "mrscake.h"

#include "ast.h"

int main()

{

config_parse_remote_servers("servers.txt");

trainingdata_t* data = trainingdata_new();

int t;

for(t=0;t<256;t++) {

example_t*e = example_new(16);

int s;

for(s=0;s<16;s++) {

e->inputs[s] = variable_new_continuous((lrand48()%256)/256.0);

}

e->desired_response = variable_new_categorical(t%2);

trainingdata_add_example(data, e);

}

trainingdata_save(data, "/tmp/data.data");

trainingdata_destroy(data);

data = trainingdata_load("/tmp/data.data");

model_t*m = model_select(data);

char*code = model_generate_code(m, "python");

printf("%s\n", code);

free(code);

model_destroy(m);

trainingdata_destroy(data);

}