SHOGUN  6.1.3
CHAIDTreeNodeData.h
Go to the documentation of this file.
1 /*
2  * Copyright (c) The Shogun Machine Learning Toolbox
3  * Written (w) 2014 Parijat Mazumdar
4  * All rights reserved.
5  *
6  * Redistribution and use in source and binary forms, with or without
7  * modification, are permitted provided that the following conditions are met:
8  *
9  * 1. Redistributions of source code must retain the above copyright notice, this
10  * list of conditions and the following disclaimer.
11  * 2. Redistributions in binary form must reproduce the above copyright notice,
12  * this list of conditions and the following disclaimer in the documentation
13  * and/or other materials provided with the distribution.
14  *
15  * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
16  * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
17  * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
18  * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
19  * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
20  * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
21  * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
22  * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
23  * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
24  * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
25  *
26  * The views and conclusions contained in the software and documentation are those
27  * of the authors and should not be interpreted as representing official policies,
28  * either expressed or implied, of the Shogun Development Team.
29  */
30 
31 
32 #ifndef CHAIDTREENODEDATA_H__
33 #define CHAIDTREENODEDATA_H__
34 
35 #include <shogun/lib/config.h>
36 
37 namespace shogun
38 {
45 {
47  int32_t attribute_id;
48 
51 
54 
57 
60 
63 
66  {
67  attribute_id=-1;
68  distinct_features=SGVector<float64_t>();
69  feature_class=SGVector<int32_t>();
70  node_label=-1.0;
71  total_weight=0.;
72  weight_minus_node=0.;
73  }
74 
78  static void print_data(const CHAIDTreeNodeData &data)
79  {
80  SG_SPRINT("classifying feature index=%d\n", data.attribute_id);
81  data.distinct_features.display_vector(data.distinct_features.vector,data.distinct_features.vlen, "distinct feature values");
82  data.feature_class.display_vector(data.feature_class.vector,data.feature_class.vlen, "categories of features");
83  SG_SPRINT("total weight=%f\n", data.total_weight);
84  SG_SPRINT("errored weight of node=%f\n", data.weight_minus_node);
85  }
86 };
87 
88 
89 } /* shogun */
90 
91 #endif /* CHAIDTREENODEDATA_H__ */
structure to store data of a node of CHAID. This can be used as a template type in TreeMachineNode cl...
SGVector< int32_t > feature_class
SGVector< float64_t > distinct_features
#define SG_SPRINT(...)
Definition: SGIO.h:165
double float64_t
Definition: common.h:60
static void print_data(const CHAIDTreeNodeData &data)
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:18
void display_vector(const char *name="vector", const char *prefix="") const
Definition: SGVector.cpp:411
index_t vlen
Definition: SGVector.h:571

SHOGUN Machine Learning Toolbox - Documentation