SHOGUN
6.0.0
src
shogun
statistical_testing
internals
DataFetcherFactory.cpp
Go to the documentation of this file.
1
/*
2
* Copyright (c) The Shogun Machine Learning Toolbox
3
* Written (w) 2016 - 2017 Soumyajit De
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
#include <
shogun/features/Features.h
>
32
#include <
shogun/features/streaming/StreamingFeatures.h
>
33
#include <
shogun/statistical_testing/internals/DataFetcher.h
>
34
#include <
shogun/statistical_testing/internals/StreamingDataFetcher.h
>
35
#include <
shogun/statistical_testing/internals/DataFetcherFactory.h
>
36
37
using namespace
shogun
;
38
using namespace
internal;
39
40
DataFetcher* DataFetcherFactory::get_instance(
CFeatures
* feats)
41
{
42
EFeatureClass
fclass = feats->
get_feature_class
();
43
if
(fclass ==
C_STREAMING_DENSE
|| fclass ==
C_STREAMING_SPARSE
|| fclass ==
C_STREAMING_STRING
)
44
{
45
return
new
StreamingDataFetcher(static_cast<CStreamingFeatures*>(feats));
46
}
47
return
new
DataFetcher(feats);
48
}
49
DataFetcher.h
shogun::EFeatureClass
EFeatureClass
shogun feature class
Definition:
FeatureTypes.h:38
DataFetcherFactory.h
shogun::CFeatures::get_feature_class
virtual EFeatureClass get_feature_class() const =0
shogun::C_STREAMING_DENSE
Definition:
FeatureTypes.h:50
shogun
all of classes and functions are contained in the shogun namespace
Definition:
class_list.h:18
shogun::CFeatures
The class Features is the base class of all feature objects.
Definition:
Features.h:68
shogun::C_STREAMING_SPARSE
Definition:
FeatureTypes.h:51
Features.h
shogun::C_STREAMING_STRING
Definition:
FeatureTypes.h:52
StreamingFeatures.h
StreamingDataFetcher.h
SHOGUN
Machine Learning Toolbox - Documentation