22 #ifndef __LASSO_REGRESSION_TRAINING_BATCH_H__
23 #define __LASSO_REGRESSION_TRAINING_BATCH_H__
25 #include "algorithms/algorithm.h"
26 #include "services/daal_defines.h"
27 #include "services/daal_memory.h"
28 #include "algorithms/lasso_regression/lasso_regression_training_types.h"
29 #include "algorithms/lasso_regression/lasso_regression_model.h"
30 #include "algorithms/linear_model/linear_model_training_batch.h"
36 namespace lasso_regression
51 template<
typename algorithmFPType, Method method, CpuType cpu>
52 class DAAL_EXPORT BatchContainer :
public TrainingContainerIface<batch>
59 BatchContainer(daal::services::Environment::env *daalEnv);
69 services::Status compute() DAAL_C11_OVERRIDE;
87 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
88 class DAAL_EXPORT Batch :
public linear_model::training::Batch
91 typedef algorithms::lasso_regression::training::Input InputType;
92 typedef optimization_solver::iterative_solver::BatchPtr SolverPtr;
93 typedef algorithms::lasso_regression::training::Parameter ParameterType;
94 typedef algorithms::lasso_regression::training::Result ResultType;
99 Batch(
const SolverPtr& solver = SolverPtr());
107 Batch(
const Batch<algorithmFPType, method> &other);
118 ParameterType& parameter() {
return *
static_cast<ParameterType*
>(_par); }
124 const ParameterType& parameter()
const {
return *
static_cast<const ParameterType*
>(_par); }
130 virtual regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
136 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
142 ResultPtr getResult() {
return ResultType::cast(_result); }
150 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
152 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
157 virtual Batch<algorithmFPType, method> * cloneImpl() const DAAL_C11_OVERRIDE
159 return new Batch<algorithmFPType, method>(*this);
162 services::Status allocateResult() DAAL_C11_OVERRIDE
164 services::Status s = getResult()->template allocate<algorithmFPType>(&input,
static_cast<const ParameterType*
>(_par), method);
165 _res = _result.get();
171 _ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
173 _result.reset(
new ResultType());
179 using interface1::BatchContainer;
180 using interface1::Batch;
daal::algorithms::lasso_regression::training::interface1::Batch::parameter
const ParameterType & parameter() const
Definition: lasso_regression_training_batch.h:124
daal
Definition: algorithm_base_common.h:31
daal::algorithms::lasso_regression::training::interface1::Batch::getResult
ResultPtr getResult()
Definition: lasso_regression_training_batch.h:142
daal::algorithms::lasso_regression::training::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: lasso_regression_training_batch.h:150
daal::algorithms::lasso_regression::training::interface1::Batch::parameter
ParameterType & parameter()
Definition: lasso_regression_training_batch.h:118
daal::batch
Definition: daal_defines.h:110
daal::algorithms::lasso_regression::training::interface1::Batch::getInput
virtual regression::training::Input * getInput() DAAL_C11_OVERRIDE
Definition: lasso_regression_training_batch.h:130
daal::algorithms::lasso_regression::training::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: lasso_regression_training_batch.h:136
daal::algorithms::lasso_regression::training::interface1::Batch::input
InputType input
Definition: lasso_regression_training_batch.h:96
daal::algorithms::lasso_regression::training::interface1::BatchContainer
Class containing methods for normal equations lasso regression model-based training using algorithmFP...
Definition: lasso_regression_training_batch.h:52
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:50
daal::algorithms::lasso_regression::training::interface1::Batch
Provides methods for lasso regression model-based training in the batch processing mode...
Definition: lasso_regression_training_batch.h:88