C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 1

adaboost_training_batch.h
1 /* file: adaboost_training_batch.h */
2 /*******************************************************************************
3 * Copyright 2014-2017 Intel Corporation
4 * All Rights Reserved.
5 *
6 * If this software was obtained under the Intel Simplified Software License,
7 * the following terms apply:
8 *
9 * The source code, information and material ("Material") contained herein is
10 * owned by Intel Corporation or its suppliers or licensors, and title to such
11 * Material remains with Intel Corporation or its suppliers or licensors. The
12 * Material contains proprietary information of Intel or its suppliers and
13 * licensors. The Material is protected by worldwide copyright laws and treaty
14 * provisions. No part of the Material may be used, copied, reproduced,
15 * modified, published, uploaded, posted, transmitted, distributed or disclosed
16 * in any way without Intel's prior express written permission. No license under
17 * any patent, copyright or other intellectual property rights in the Material
18 * is granted to or conferred upon you, either expressly, by implication,
19 * inducement, estoppel or otherwise. Any license under such intellectual
20 * property rights must be express and approved by Intel in writing.
21 *
22 * Unless otherwise agreed by Intel in writing, you may not remove or alter this
23 * notice or any other notice embedded in Materials by Intel or Intel's
24 * suppliers or licensors in any way.
25 *
26 *
27 * If this software was obtained under the Apache License, Version 2.0 (the
28 * "License"), the following terms apply:
29 *
30 * You may not use this file except in compliance with the License. You may
31 * obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
32 *
33 *
34 * Unless required by applicable law or agreed to in writing, software
35 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
36 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
37 *
38 * See the License for the specific language governing permissions and
39 * limitations under the License.
40 *******************************************************************************/
41 
42 /*
43 //++
44 // Implementation of the interface for AdaBoost model-based training in the batch
45 // processing mode
46 //--
47 */
48 
49 #ifndef __ADA_BOOST_TRAINING_BATCH_H__
50 #define __ADA_BOOST_TRAINING_BATCH_H__
51 
52 #include "algorithms/boosting/boosting_training_batch.h"
53 #include "algorithms/boosting/adaboost_training_types.h"
54 
55 namespace daal
56 {
57 namespace algorithms
58 {
59 namespace adaboost
60 {
61 namespace training
62 {
63 
64 namespace interface1
65 {
80 template<typename algorithmFPType, Method method, CpuType cpu>
81 class DAAL_EXPORT BatchContainer : public TrainingContainerIface<batch>
82 {
83 public:
88  BatchContainer(daal::services::Environment::env *daalEnv);
90  ~BatchContainer();
94  services::Status compute() DAAL_C11_OVERRIDE;
95 };
96 
114 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
115 class DAAL_EXPORT Batch : public boosting::training::Batch
116 {
117 public:
118  Parameter parameter;
119  classifier::training::Input input;
121  Batch()
122  {
123  initialize();
124  }
125 
132  Batch(const Batch<algorithmFPType, method> &other) : boosting::training::Batch(other),
133  parameter(other.parameter), input(other.input)
134  {
135  initialize();
136  }
137 
138  virtual ~Batch() {}
139 
144  classifier::training::Input * getInput() DAAL_C11_OVERRIDE { return &input; }
145 
150  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int)method; }
151 
156  ResultPtr getResult()
157  {
158  return Result::cast(_result);
159  }
160 
164  services::Status resetResult() DAAL_C11_OVERRIDE
165  {
166  _result.reset(new Result());
167  DAAL_CHECK(_result, services::ErrorNullResult);
168  _res = NULL;
169  return services::Status();
170  }
171 
177  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
178  {
179  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
180  }
181 
182 protected:
183  virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
184  {
185  return new Batch<algorithmFPType, method>(*this);
186  }
187 
188  services::Status allocateResult() DAAL_C11_OVERRIDE
189  {
190  ResultPtr res = getResult();
191  DAAL_CHECK(res, services::ErrorNullResult);
192  services::Status s = res->template allocate<algorithmFPType>(&input, _par, method);
193  _res = _result.get();
194  return s;
195  }
196 
197  void initialize()
198  {
199  _ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
200  _in = &input;
201  _par = &parameter;
202  _result.reset(new Result());
203  }
204 };
206 } // namespace interface1
207 using interface1::BatchContainer;
208 using interface1::Batch;
209 
210 } // namespace daal::algorithms::adaboost::training
211 }
212 }
213 } // namespace daal
214 #endif // __ADA_BOOST_TRAINING_BATCH_H__
daal::algorithms::adaboost::training::interface1::BatchContainer
Provides methods to run implementations of AdaBoost model-based training. It is associated with daal:...
Definition: adaboost_training_batch.h:81
daal
Definition: algorithm_base_common.h:57
daal::batch
Definition: daal_defines.h:131
daal::algorithms::adaboost::training::interface1::Batch::parameter
Parameter parameter
Definition: adaboost_training_batch.h:118
daal::algorithms::adaboost::training::interface1::Batch::getInput
classifier::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: adaboost_training_batch.h:144
daal::algorithms::adaboost::training::interface1::Batch
Trains model of the AdaBoost algorithms in batch mode.
Definition: adaboost_training_batch.h:115
daal::algorithms::adaboost::training::interface1::Batch::resetResult
services::Status resetResult() DAAL_C11_OVERRIDE
Definition: adaboost_training_batch.h:164
daal::algorithms::adaboost::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: adaboost_training_batch.h:177
daal::algorithms::adaboost::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: adaboost_training_batch.h:132
daal::algorithms::adaboost::training::interface1::Batch::input
classifier::training::Input input
Definition: adaboost_training_batch.h:119
daal::algorithms::adaboost::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: adaboost_training_batch.h:156
daal::algorithms::adaboost::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: adaboost_training_batch.h:150
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76
daal::algorithms::adaboost::training::interface1::Result
Provides methods to access final results obtained with the compute() method of the AdaBoost training ...
Definition: adaboost_training_types.h:96

For more complete information about compiler optimizations, see our Optimization Notice.