C++ API Reference for Intel® Data Analytics Acceleration Library 2019

linear_regression_predict.h
1 /* file: linear_regression_predict.h */
2 /*******************************************************************************
3 * Copyright 2014-2018 Intel Corporation.
4 *
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6 * your use of them is governed by the express license under which they were
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9 * the related documents without Intel's prior written permission.
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13 * License.
14 *******************************************************************************/
15 
16 /*
17 //++
18 // Implementation of the interface for linear regression model-based prediction
19 //--
20 */
21 
22 #ifndef __LINEAR_REGRESSION_PREDICT_H__
23 #define __LINEAR_REGRESSION_PREDICT_H__
24 
25 #include "algorithms/algorithm.h"
26 #include "services/daal_defines.h"
27 #include "algorithms/linear_regression/linear_regression_predict_types.h"
28 #include "algorithms/linear_model/linear_model_predict.h"
29 
30 namespace daal
31 {
32 namespace algorithms
33 {
34 namespace linear_regression
35 {
36 namespace prediction
37 {
38 namespace interface1
39 {
65 template<typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
66 class Batch
67 {};
68 
85 template<typename algorithmFPType>
86 class Batch<algorithmFPType, defaultDense> : public linear_model::prediction::Batch<algorithmFPType, linear_model::prediction::defaultDense>
87 {
88 public:
89  typedef algorithms::linear_regression::prediction::Input InputType;
90  typedef algorithms::linear_regression::Parameter ParameterType;
91  typedef algorithms::linear_regression::prediction::Result ResultType;
92 
93  InputType input;
96  Batch()
97  {
98  initialize();
99  }
100 
107  Batch(const Batch<algorithmFPType, defaultDense> &other) : input(other.input)
108  {
109  initialize();
110  }
111 
116  virtual int getMethod() const DAAL_C11_OVERRIDE { return(int)defaultDense; }
117 
122  ResultPtr getResult() { return ResultType::cast(this->_result); }
123 
129  services::SharedPtr<Batch<algorithmFPType, defaultDense> > clone() const
130  {
131  return services::SharedPtr<Batch<algorithmFPType, defaultDense> >(cloneImpl());
132  }
133 
134  virtual regression::prediction::Input* getInput() DAAL_C11_OVERRIDE { return &input; }
135 
136 protected:
137 
138  virtual Batch<algorithmFPType, defaultDense> * cloneImpl() const DAAL_C11_OVERRIDE
139  {
140  return new Batch<algorithmFPType, defaultDense>(*this);
141  }
142 
143  services::Status allocateResult() DAAL_C11_OVERRIDE
144  {
145  services::Status s = getResult()->template allocate<algorithmFPType>(this->_in, 0, 0);
146  this->_res = this->_result.get();
147  return s;
148  }
149 
150  void initialize()
151  {
152  this->_ac = new __DAAL_ALGORITHM_CONTAINER(batch, linear_model::prediction::BatchContainer, algorithmFPType, linear_model::prediction::defaultDense)(&(this->_env));
153  this->_in = &input;
154  this->_par = NULL;
155  this->_result.reset(new ResultType());
156  }
157 };
159 } // namespace interface1
160 using interface1::Batch;
161 
162 }
163 }
164 }
165 }
166 #endif
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::Batch
Batch()
Definition: linear_regression_predict.h:96
daal
Definition: algorithm_base_common.h:31
daal::algorithms::association_rules::defaultDense
Definition: apriori_types.h:51
daal_defines.h
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::clone
services::SharedPtr< Batch< algorithmFPType, defaultDense > > clone() const
Definition: linear_regression_predict.h:129
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: linear_regression_predict.h:116
daal::batch
Definition: daal_defines.h:106
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::getResult
ResultPtr getResult()
Definition: linear_regression_predict.h:122
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::input
InputType input
Definition: linear_regression_predict.h:93
daal::algorithms::linear_model::prediction::defaultDense
Definition: linear_model_predict_types.h:53
daal::algorithms::classifier::prediction::prediction
Definition: classifier_predict_types.h:76
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::Batch
Batch(const Batch< algorithmFPType, defaultDense > &other)
Definition: linear_regression_predict.h:107
daal::algorithms::linear_regression::prediction::interface1::Batch
Provides methods to run implementations of the linear regression model-based prediction.
Definition: linear_regression_predict.h:66
daal::algorithms::linear_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >
Provides methods to run implementations of the linear regression model-based prediction.
Definition: linear_regression_predict.h:86

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