22 #ifndef __LINEAR_REGRESSION_PREDICT_H__
23 #define __LINEAR_REGRESSION_PREDICT_H__
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"
34 namespace linear_regression
65 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
85 template<
typename algorithmFPType>
86 class Batch<algorithmFPType, defaultDense> :
public linear_model::prediction::Batch<algorithmFPType, linear_model::prediction::defaultDense>
89 typedef algorithms::linear_regression::prediction::Input InputType;
90 typedef algorithms::linear_regression::Parameter ParameterType;
91 typedef algorithms::linear_regression::prediction::Result ResultType;
107 Batch(
const Batch<algorithmFPType, defaultDense> &other) : input(other.input)
116 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)defaultDense; }
122 ResultPtr getResult() {
return ResultType::cast(this->_result); }
129 services::SharedPtr<Batch<algorithmFPType, defaultDense> > clone()
const
131 return services::SharedPtr<Batch<algorithmFPType, defaultDense> >(cloneImpl());
134 virtual regression::prediction::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
138 virtual Batch<algorithmFPType, defaultDense> * cloneImpl() const DAAL_C11_OVERRIDE
140 return new Batch<algorithmFPType, defaultDense>(*this);
143 services::Status allocateResult() DAAL_C11_OVERRIDE
145 services::Status s = getResult()->template allocate<algorithmFPType>(this->_in, 0, 0);
146 this->_res = this->_result.get();
152 this->_ac =
new __DAAL_ALGORITHM_CONTAINER(batch, linear_model::prediction::BatchContainer, algorithmFPType, linear_model::prediction::defaultDense)(&(this->_env));
155 this->_result.reset(
new ResultType());
160 using interface1::Batch;
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::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