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

decision_forest_classification_training_batch.h
1 /* file: decision_forest_classification_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 Decision forest model-based training
45 //--
46 */
47 
48 #ifndef __DECISION_FOREST_CLASSIFICATION_TRAINING_BATCH_H__
49 #define __DECISION_FOREST_CLASSIFICATION_TRAINING_BATCH_H__
50 
51 #include "algorithms/classifier/classifier_training_batch.h"
52 #include "algorithms/decision_forest/decision_forest_classification_training_types.h"
53 
54 namespace daal
55 {
56 namespace algorithms
57 {
58 namespace decision_forest
59 {
60 namespace classification
61 {
62 namespace training
63 {
64 namespace interface1
65 {
79 template<typename algorithmFPType, Method method, CpuType cpu>
80 class DAAL_EXPORT BatchContainer : public TrainingContainerIface<batch>
81 {
82 public:
88  BatchContainer(daal::services::Environment::env *daalEnv);
90  ~BatchContainer();
95  services::Status compute() DAAL_C11_OVERRIDE;
96 };
97 
115 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
116 class DAAL_EXPORT Batch : public classifier::training::Batch
117 {
118 public:
119  Parameter parameter;
120  classifier::training::Input input;
126  Batch(size_t nClasses) : parameter(nClasses)
127  {
128  initialize();
129  parameter.minObservationsInLeafNode = 1;
130  }
131 
138  Batch(const Batch<algorithmFPType, method> &other) : classifier::training::Batch(other),
139  parameter(other.parameter), input(other.input)
140  {
141  initialize();
142  }
143 
144  virtual ~Batch() {}
145 
150  classifier::training::Input * getInput() DAAL_C11_OVERRIDE { return &input; }
151 
156  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int)method; }
157 
162  ResultPtr getResult()
163  {
164  return Result::cast(_result);
165  }
166 
170  services::Status resetResult() DAAL_C11_OVERRIDE
171  {
172  _result.reset(new Result());
173  DAAL_CHECK(_result, services::ErrorNullResult);
174  _res = NULL;
175  return services::Status();
176  }
177 
183  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
184  {
185  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
186  }
187 
188  virtual services::Status checkComputeParams() DAAL_C11_OVERRIDE;
189 
190 protected:
191  virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
192  {
193  return new Batch<algorithmFPType, method>(*this);
194  }
195 
196  services::Status allocateResult() DAAL_C11_OVERRIDE
197  {
198  ResultPtr res = getResult();
199  DAAL_CHECK(res, services::ErrorNullResult);
200  services::Status s = res->template allocate<algorithmFPType>(&input, _par, method);
201  _res = _result.get();
202  return s;
203  }
204 
205  void initialize()
206  {
207  _ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
208  _in = &input;
209  _par = &parameter;
210  _result.reset(new Result());
211  }
212 };
214 } // namespace interface1
215 using interface1::BatchContainer;
216 using interface1::Batch;
217 
218 } // namespace daal::algorithms::decision_forest::classification::training
219 }
220 }
221 }
222 } // namespace daal
223 #endif // __LOGIT_BOOST_TRAINING_BATCH_H__
daal::algorithms::decision_forest::classification::training::interface1::Result
Provides methods to access final results obtained with the compute() method of the LogitBoost trainin...
Definition: decision_forest_classification_training_types.h:122
daal
Definition: algorithm_base_common.h:57
daal::algorithms::decision_forest::classification::training::interface1::Batch::getInput
classifier::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: decision_forest_classification_training_batch.h:150
daal::algorithms::decision_forest::classification::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: decision_forest_classification_training_batch.h:183
daal::algorithms::decision_forest::classification::training::interface1::BatchContainer
Provides methods to run implementations of Decision forest model-based training. This class is associ...
Definition: decision_forest_classification_training_batch.h:80
daal::algorithms::decision_forest::classification::training::interface1::Parameter
Decision forest algorithm parameters.
Definition: decision_forest_classification_training_types.h:108
daal::batch
Definition: daal_defines.h:131
daal::algorithms::decision_forest::classification::training::interface1::Batch::parameter
Parameter parameter
Definition: decision_forest_classification_training_batch.h:119
daal::algorithms::decision_forest::classification::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: decision_forest_classification_training_batch.h:162
daal::algorithms::decision_forest::classification::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: decision_forest_classification_training_batch.h:156
daal::algorithms::decision_forest::classification::training::interface1::Batch::input
classifier::training::Input input
Definition: decision_forest_classification_training_batch.h:120
daal::algorithms::decision_forest::classification::training::interface1::Batch
Trains model of the Decision forest algorithms in the batch processing mode.
Definition: decision_forest_classification_training_batch.h:116
daal::algorithms::decision_forest::classification::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: decision_forest_classification_training_batch.h:138
daal::algorithms::decision_forest::classification::training::interface1::Batch::Batch
Batch(size_t nClasses)
Definition: decision_forest_classification_training_batch.h:126
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::decision_forest::classification::training::interface1::Batch::resetResult
services::Status resetResult() DAAL_C11_OVERRIDE
Definition: decision_forest_classification_training_batch.h:170
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76

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