22 #ifndef __RIDGE_REGRESSION_PREDICT_H__
23 #define __RIDGE_REGRESSION_PREDICT_H__
25 #include "algorithms/algorithm.h"
26 #include "services/daal_defines.h"
27 #include "algorithms/ridge_regression/ridge_regression_predict_types.h"
28 #include "algorithms/linear_model/linear_model_predict.h"
34 namespace ridge_regression
65 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
84 template<
typename algorithmFPType>
85 class Batch<algorithmFPType, defaultDense> :
public linear_model::prediction::Batch<algorithmFPType, linear_model::prediction::defaultDense>
88 typedef linear_model::prediction::Batch<algorithmFPType, linear_model::prediction::defaultDense> super;
90 typedef algorithms::ridge_regression::prediction::Input InputType;
91 typedef typename super::ParameterType ParameterType;
92 typedef algorithms::ridge_regression::prediction::Result ResultType;
108 Batch(
const Batch<algorithmFPType, defaultDense> &other) : input(other.input)
117 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)defaultDense; }
123 ResultPtr getResult() {
return ResultType::cast(this->_result); }
130 services::SharedPtr<Batch<algorithmFPType, defaultDense> > clone()
const
132 return services::SharedPtr<Batch<algorithmFPType, defaultDense> >(cloneImpl());
135 virtual regression::prediction::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
139 virtual Batch<algorithmFPType, defaultDense> * cloneImpl() const DAAL_C11_OVERRIDE
141 return new Batch<algorithmFPType, defaultDense>(*this);
144 services::Status allocateResult() DAAL_C11_OVERRIDE
146 services::Status s = getResult()->template allocate<algorithmFPType>(this->_in, 0, 0);
147 this->_res = this->_result.get();
153 this->_ac =
new __DAAL_ALGORITHM_CONTAINER(batch, linear_model::prediction::BatchContainer, algorithmFPType, linear_model::prediction::defaultDense)(&(this->_env));
156 this->_result.reset(
new ResultType());
161 using interface1::Batch;
daal
Definition: algorithm_base_common.h:31
daal::algorithms::association_rules::defaultDense
Definition: apriori_types.h:51
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::clone
services::SharedPtr< Batch< algorithmFPType, defaultDense > > clone() const
Definition: ridge_regression_predict.h:130
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::Batch
Batch(const Batch< algorithmFPType, defaultDense > &other)
Definition: ridge_regression_predict.h:108
daal::batch
Definition: daal_defines.h:106
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >
Provides methods to run implementations of the ridge regression model-based prediction.
Definition: ridge_regression_predict.h:85
daal::algorithms::ridge_regression::prediction::interface1::Batch
Provides methods to run implementations of the ridge regression model-based prediction.
Definition: ridge_regression_predict.h:66
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::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::input
InputType input
Definition: ridge_regression_predict.h:94
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::Batch
Batch()
Definition: ridge_regression_predict.h:97
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::getResult
ResultPtr getResult()
Definition: ridge_regression_predict.h:123
daal::algorithms::ridge_regression::prediction::interface1::Batch< algorithmFPType, defaultDense >::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: ridge_regression_predict.h:117