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

kdtree_knn_classification_training_batch.h
1 /* file: kdtree_knn_classification_training_batch.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for k-Nearest Neighbor (kNN) model-based training in the batch processing mode
45 //--
46 */
47 
48 #ifndef __KDTREE_KNN_CLASSIFICATION_TRAINING_BATCH_H__
49 #define __KDTREE_KNN_CLASSIFICATION_TRAINING_BATCH_H__
50 
51 #include "algorithms/algorithm.h"
52 #include "algorithms/k_nearest_neighbors/kdtree_knn_classification_training_types.h"
53 #include "algorithms/k_nearest_neighbors/kdtree_knn_classification_model.h"
54 #include "algorithms/classifier/classifier_training_batch.h"
55 
56 namespace daal
57 {
58 namespace algorithms
59 {
60 namespace kdtree_knn_classification
61 {
62 namespace training
63 {
64 namespace interface1
65 {
76 template <typename algorithmFPType, Method method, CpuType cpu>
77 class DAAL_EXPORT BatchContainer : public TrainingContainerIface<batch>
78 {
79 public:
84  BatchContainer(daal::services::Environment::env * daalEnv);
85 
87  ~BatchContainer();
88 
92  services::Status compute() DAAL_C11_OVERRIDE;
93 };
94 
110 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
111 class DAAL_EXPORT Batch : public classifier::training::Batch
112 {
113 public:
114  Parameter parameter;
115  classifier::training::Input input;
118  Batch()
119  {
120  initialize();
121  }
122 
129  Batch(const Batch<algorithmFPType, method> & other) : classifier::training::Batch(other),
130  parameter(other.parameter), input(other.input)
131  {
132  initialize();
133  }
134 
139  classifier::training::Input * getInput() DAAL_C11_OVERRIDE { return &input; }
140 
145  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int)method; }
146 
151  ResultPtr getResult() { return Result::cast(_result); }
152 
156  services::Status resetResult() DAAL_C11_OVERRIDE
157  {
158  _result.reset(new Result());
159  DAAL_CHECK(_result, services::ErrorNullResult);
160  _res = NULL;
161  return services::Status();
162  }
163 
170  services::SharedPtr<Batch<algorithmFPType, method> > clone() const
171  {
172  return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
173  }
174 
175 protected:
176  virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
177  {
178  return new Batch<algorithmFPType, method>(*this);
179  }
180 
181  services::Status allocateResult() DAAL_C11_OVERRIDE
182  {
183  const ResultPtr res = getResult();
184  DAAL_CHECK(_result, services::ErrorNullResult);
185  services::Status s = res->template allocate<algorithmFPType>((classifier::training::InputIface *)(&input), &parameter, (int)method);
186  _res = _result.get();
187  return s;
188  }
189 
190  void initialize()
191  {
192  _ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
193  _in = &input;
194  _par = &parameter;
195  _result.reset(new Result());
196  }
197 };
198 
200 } // namespace interface1
201 
202 using interface1::BatchContainer;
203 using interface1::Batch;
204 
205 } // namespace training
206 } // namespace kdtree_knn_classification
207 } // namespace algorithms
208 } // namespace daal
209 
210 #endif
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::getInput
classifier::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: kdtree_knn_classification_training_batch.h:139
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: kdtree_knn_classification_training_batch.h:170
daal
Definition: algorithm_base_common.h:57
daal::algorithms::kdtree_knn_classification::training::interface1::Batch
Provides methods for KD-tree based kNN model-based training in the batch processing mode...
Definition: kdtree_knn_classification_training_batch.h:111
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: kdtree_knn_classification_training_batch.h:151
daal::batch
Definition: daal_defines.h:131
daal::algorithms::kdtree_knn_classification::training::interface1::Result
Provides methods to access the result obtained with the compute() method of KD-tree based kNN model-b...
Definition: kdtree_knn_classification_training_types.h:98
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::input
classifier::training::Input input
Definition: kdtree_knn_classification_training_batch.h:115
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::parameter
Parameter parameter
Definition: kdtree_knn_classification_training_batch.h:114
daal::algorithms::kdtree_knn_classification::training::interface1::BatchContainer
Class containing methods for KD-tree based kNN model-based training using algorithmFPType precision a...
Definition: kdtree_knn_classification_training_batch.h:77
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::Batch
Batch()
Definition: kdtree_knn_classification_training_batch.h:118
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: kdtree_knn_classification_training_batch.h:145
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::resetResult
services::Status resetResult() DAAL_C11_OVERRIDE
Definition: kdtree_knn_classification_training_batch.h:156
daal::algorithms::kdtree_knn_classification::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: kdtree_knn_classification_training_batch.h:129
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

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