49 #ifndef __LINEAR_REGRESSION_TRAINING_BATCH_H__
50 #define __LINEAR_REGRESSION_TRAINING_BATCH_H__
52 #include "algorithms/algorithm.h"
53 #include "services/daal_defines.h"
54 #include "services/daal_memory.h"
55 #include "algorithms/linear_regression/linear_regression_training_types.h"
56 #include "algorithms/linear_regression/linear_regression_model.h"
57 #include "algorithms/linear_model/linear_model_training_batch.h"
63 namespace linear_regression
80 template<
typename algorithmFPType, Method method, CpuType cpu>
81 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
89 BatchContainer(daal::services::Environment::env *daalEnv);
97 services::Status compute() DAAL_C11_OVERRIDE;
117 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = normEqDense>
118 class DAAL_EXPORT Batch :
public linear_model::training::Batch
136 Batch(
const Batch<algorithmFPType, method> &other) : input(other.input), parameter(other.parameter)
143 virtual regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
149 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
155 ResultPtr getResult() {
return Result::cast(_result); }
163 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
165 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
169 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
171 return new Batch<algorithmFPType, method>(*this);
174 services::Status allocateResult() DAAL_C11_OVERRIDE
176 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
177 _res = _result.get();
183 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
186 _result.reset(
new Result());
191 using interface1::BatchContainer;
192 using interface1::Batch;
daal::algorithms::linear_regression::training::interface1::Batch
Provides methods for linear regression model-based training in the batch processing mode...
Definition: linear_regression_training_batch.h:118
daal::algorithms::linear_regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: linear_regression_training_batch.h:155
daal
Definition: algorithm_base_common.h:57
daal::algorithms::linear_regression::training::interface1::Batch::input
Input input
Definition: linear_regression_training_batch.h:121
daal::algorithms::linear_regression::training::interface1::BatchContainer
Class containing methods for normal equations linear regression model-based training using algorithmF...
Definition: linear_regression_training_batch.h:81
daal::algorithms::linear_regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: linear_regression_training_batch.h:136
daal::algorithms::linear_regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: linear_regression_training_batch.h:163
daal::batch
Definition: daal_defines.h:131
daal::algorithms::linear_regression::training::interface1::Batch::Batch
Batch()
Definition: linear_regression_training_batch.h:125
daal::algorithms::linear_regression::training::interface1::Batch::parameter
Parameter parameter
Definition: linear_regression_training_batch.h:122
daal::algorithms::linear_regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: linear_regression_training_batch.h:149
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76