23 #ifndef __LINEAR_REGRESSION_TRAINING_BATCH_H__
24 #define __LINEAR_REGRESSION_TRAINING_BATCH_H__
26 #include "algorithms/algorithm.h"
27 #include "services/daal_defines.h"
28 #include "services/daal_memory.h"
29 #include "algorithms/linear_regression/linear_regression_training_types.h"
30 #include "algorithms/linear_regression/linear_regression_model.h"
31 #include "algorithms/linear_model/linear_model_training_batch.h"
37 namespace linear_regression
54 template<
typename algorithmFPType, Method method, CpuType cpu>
55 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
63 BatchContainer(daal::services::Environment::env *daalEnv);
71 services::Status compute() DAAL_C11_OVERRIDE;
91 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = normEqDense>
92 class DAAL_EXPORT Batch :
public linear_model::training::Batch
95 typedef algorithms::linear_regression::training::Input InputType;
96 typedef algorithms::linear_regression::Parameter ParameterType;
97 typedef algorithms::linear_regression::training::Result ResultType;
100 ParameterType parameter;
114 Batch(
const Batch<algorithmFPType, method> &other) : input(other.input), parameter(other.parameter)
121 virtual regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
127 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
133 ResultPtr getResult() {
return ResultType::cast(_result); }
141 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
143 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
147 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
149 return new Batch<algorithmFPType, method>(*this);
152 services::Status allocateResult() DAAL_C11_OVERRIDE
154 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
155 _res = _result.get();
161 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
164 _result.reset(
new ResultType());
169 using interface1::BatchContainer;
170 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:92
daal::algorithms::linear_regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: linear_regression_training_batch.h:133
daal
Definition: algorithm_base_common.h:31
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:55
daal::algorithms::linear_regression::training::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: linear_regression_training_batch.h:114
daal::algorithms::linear_regression::training::interface1::Batch::parameter
ParameterType parameter
Definition: linear_regression_training_batch.h:100
daal::algorithms::linear_regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: linear_regression_training_batch.h:141
daal::batch
Definition: daal_defines.h:110
daal::algorithms::linear_regression::training::interface1::Batch::Batch
Batch()
Definition: linear_regression_training_batch.h:103
daal::algorithms::linear_regression::training::interface1::Batch::input
InputType input
Definition: linear_regression_training_batch.h:99
daal::algorithms::linear_regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: linear_regression_training_batch.h:127
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:50