-
Notifications
You must be signed in to change notification settings - Fork 7
/
dataset.h
64 lines (48 loc) · 1.63 KB
/
dataset.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
/* dataset.h
Conversion between representations of training data (header file).
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 */
#ifndef __dataset_h__
#define __dataset_h__
#include <stdbool.h>
#include "model.h"
#include "ast.h"
#ifdef __cplusplus
extern "C" {
#endif
struct _column;
typedef struct _column column_t;
typedef struct _sanitized_dataset {
int num_columns;
int num_rows;
column_t**columns;
column_t*desired_response;
} sanitized_dataset_t;
struct _column {
bool is_categorical;
int num_classes;
constant_t*classes;
union {
float f;
category_t c;
} entries[0];
};
void sanitized_dataset_destroy(sanitized_dataset_t*dataset);
example_t**example_list_to_array(dataset_t*d);
sanitized_dataset_t* dataset_sanitize(dataset_t*dataset);
void sanitized_dataset_print(sanitized_dataset_t*s);
#ifdef __cplusplus
}
#endif
#endif