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

kmeans_init_batch.h
1 /* file: kmeans_init_batch.h */
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41 
42 /*
43 //++
44 // Implementation of the interface for initializing the K-Means algorithm
45 // in the batch processing mode
46 //--
47 */
48 
49 #ifndef __KMEANS_INIT_BATCH_H__
50 #define __KMEANS_INIT_BATCH_H__
51 
52 #include "algorithms/algorithm.h"
53 #include "data_management/data/numeric_table.h"
54 #include "services/daal_defines.h"
55 #include "algorithms/kmeans/kmeans_init_types.h"
56 
57 namespace daal
58 {
59 namespace algorithms
60 {
61 namespace kmeans
62 {
63 namespace init
64 {
65 
66 namespace interface1
67 {
82 template<typename algorithmFPType, Method method, CpuType cpu>
83 class DAAL_EXPORT BatchContainer : public daal::algorithms::AnalysisContainerIface<batch>
84 {
85 public:
91  BatchContainer(daal::services::Environment::env *daalEnv);
93  virtual ~BatchContainer();
97  virtual services::Status compute() DAAL_C11_OVERRIDE;
98 };
99 
113 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
114 class DAAL_EXPORT Batch : public daal::algorithms::Analysis<batch>
115 {
116 public:
121  Batch(size_t nClusters) : parameter(nClusters)
122  {
123  initialize();
124  }
125 
132  Batch(const Batch<algorithmFPType, method> &other) : parameter(other.parameter)
133  {
134  initialize();
135  input.set(data, other.input.get(data));
136  }
137 
142  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int) method; }
143 
148  ResultPtr getResult()
149  {
150  return _result;
151  }
152 
157  services::Status setResult(const ResultPtr& result)
158  {
159  DAAL_CHECK(result, services::ErrorNullResult)
160  _result = result;
161  _res = _result.get();
162  return services::Status();
163  }
164 
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  virtual services::Status allocateResult() DAAL_C11_OVERRIDE
182  {
183  _result.reset(new Result());
184  size_t nFeatures = input.getNumberOfFeatures();
185  services::Status s = _result->allocate<algorithmFPType>(_in, _par, (int) method);
186  _res = _result.get();
187  return s;
188  }
189 
190  void initialize()
191  {
192  Analysis<batch>::_ac = new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
193  _in = &input;
194  _par = &parameter;
195  }
196 
197 public:
198  Input input;
199  Parameter parameter;
201 private:
202  ResultPtr _result;
203 };
205 } // namespace interface1
206 using interface1::BatchContainer;
207 using interface1::Batch;
208 } // namespace daal::algorithms::kmeans::init
209 } // namespace daal::algorithms::kmeans
210 } // namespace daal::algorithms
211 } // namespace daal
212 #endif
daal::algorithms::kmeans::init::data
Definition: kmeans_init_types.h:109
daal
Definition: algorithm_base_common.h:57
daal::algorithms::kmeans::init::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: kmeans_init_batch.h:142
daal::algorithms::AnalysisContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the analy...
Definition: analysis.h:79
daal::algorithms::kmeans::init::interface1::Batch
Computes initial clusters for the K-Means algorithm in the batch processing mode. ...
Definition: kmeans_init_batch.h:114
daal::algorithms::kmeans::init::interface1::Batch::setResult
services::Status setResult(const ResultPtr &result)
Definition: kmeans_init_batch.h:157
daal_defines.h
daal::batch
Definition: daal_defines.h:131
daal::algorithms::kmeans::init::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: kmeans_init_batch.h:132
daal::algorithms::kmeans::init::interface1::Batch::getResult
ResultPtr getResult()
Definition: kmeans_init_batch.h:148
daal::algorithms::kmeans::init::interface1::Parameter
Parameters for computing initial centroids for the K-Means algorithm.
Definition: kmeans_init_types.h:293
daal::algorithms::kmeans::init::interface1::Batch::Batch
Batch(size_t nClusters)
Definition: kmeans_init_batch.h:121
daal::algorithms::Analysis
Provides methods for execution of operations over data, such as computation of Summary Statistics est...
Definition: analysis.h:94
daal::algorithms::kmeans::init::interface1::Batch::parameter
Parameter parameter
Definition: kmeans_init_batch.h:199
daal::algorithms::kmeans::init::interface1::BatchContainer
Provides methods to run implementations of initialization of the K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Batch class and supports the method of computing initial clusters for the K-Means algorithm in the batch processing mode.
Definition: kmeans_init_batch.h:83
daal::services::ErrorNullResult
Definition: error_indexes.h:122
daal::algorithms::kmeans::init::interface1::Batch::input
Input input
Definition: kmeans_init_batch.h:198
daal::algorithms::kmeans::init::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: kmeans_init_batch.h:170
daal::algorithms::kmeans::init::interface1::Input
Input objects for computing initial centroids for the K-Means algorithm
Definition: kmeans_init_types.h:342

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