49 #ifndef __LINEAR_REGRESSION_TRAINING_ONLINE_H__ 50 #define __LINEAR_REGRESSION_TRAINING_ONLINE_H__ 52 #include "algorithms/algorithm.h" 53 #include "algorithms/linear_regression/linear_regression_training_types.h" 54 #include "algorithms/linear_model/linear_model_training_online.h" 60 namespace linear_regression
77 template<
typename algorithmFPType, Method method, CpuType cpu>
78 class DAAL_EXPORT OnlineContainer :
public TrainingContainerIface<online>
86 OnlineContainer(daal::services::Environment::env *daalEnv);
96 services::Status compute() DAAL_C11_OVERRIDE;
103 services::Status finalizeCompute() DAAL_C11_OVERRIDE;
124 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = normEqDense>
125 class DAAL_EXPORT Online :
public linear_model::training::Online
128 typedef algorithms::linear_regression::training::Input InputType;
129 typedef algorithms::linear_regression::Parameter ParameterType;
130 typedef algorithms::linear_regression::training::Result ResultType;
131 typedef algorithms::linear_regression::training::PartialResult PartialResultType;
134 ParameterType parameter;
148 Online(
const Online<algorithmFPType, method> &other) :
149 linear_model::training::Online(other), input(other.input), parameter(other.parameter)
156 virtual regression::training::Input* getInput() DAAL_C11_OVERRIDE {
return &input; }
162 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int)method; }
168 PartialResultPtr getPartialResult() {
return PartialResultType::cast(_partialResult); }
174 ResultPtr getResult() {
return ResultType::cast(_result); }
182 services::SharedPtr<Online<algorithmFPType, method> > clone()
const 184 return services::SharedPtr<Online<algorithmFPType, method> >(cloneImpl());
188 virtual Online<algorithmFPType, method> * cloneImpl()
const DAAL_C11_OVERRIDE
190 return new Online<algorithmFPType, method>(*this);
193 services::Status allocateResult() DAAL_C11_OVERRIDE
195 services::Status s = getResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
196 _res = _result.get();
200 services::Status allocatePartialResult() DAAL_C11_OVERRIDE
202 services::Status s = getPartialResult()->template allocate<algorithmFPType>(&input, ¶meter, method);
203 _pres = _partialResult.get();
207 services::Status initializePartialResult() DAAL_C11_OVERRIDE
209 services::Status s = getPartialResult()->template initialize<algorithmFPType>(&input, ¶meter, method);
210 _pres = _partialResult.get();
216 _ac =
new __DAAL_ALGORITHM_CONTAINER(online, OnlineContainer, algorithmFPType, method)(&_env);
219 _partialResult.reset(
new PartialResultType());
220 _result.reset(
new ResultType());
225 using interface1::OnlineContainer;
226 using interface1::Online;
daal::services::interface1::Environment::_envStruct
The environment structure.
Definition: env_detect.h:95
daal::services::interface1::Status
Class that holds the results of API calls. In case of API routine failure it contains the list of err...
Definition: error_handling.h:491
daal
Definition: algorithm_base_common.h:57
daal::algorithms::linear_regression::training::interface1::Online::getPartialResult
PartialResultPtr getPartialResult()
Definition: linear_regression_training_online.h:168
daal::algorithms::linear_regression::training::interface1::Online::Online
Online(const Online< algorithmFPType, method > &other)
Definition: linear_regression_training_online.h:148
daal::algorithms::linear_regression::training::interface1::Online::Online
Online()
Definition: linear_regression_training_online.h:137
daal::algorithms::linear_model::training::interface1::Result
Provides methods to access the result obtained with the compute() method of the regression model-base...
Definition: linear_model_training_types.h:174
daal::algorithms::linear_model::interface1::Parameter
Parameters for the regression algorithm.
Definition: linear_model_model.h:85
daal::services::interface1::SharedPtr
Shared pointer that retains shared ownership of an object through a pointer. Several SharedPtr object...
Definition: daal_shared_ptr.h:187
daal::algorithms::linear_regression::training::interface1::Result
Provides methods to access the result obtained with the compute() method of linear regression model-b...
Definition: linear_regression_training_types.h:361
daal::algorithms::linear_regression::training::interface1::Online::input
InputType input
Definition: linear_regression_training_online.h:133
daal::algorithms::linear_regression::training::interface1::Online::parameter
ParameterType parameter
Definition: linear_regression_training_online.h:134
daal::algorithms::linear_regression::training::interface1::Online::getResult
ResultPtr getResult()
Definition: linear_regression_training_online.h:174
daal::algorithms::linear_model::training::interface1::PartialResult
Provides methods to access a partial result obtained with the compute() method of the linear model-ba...
Definition: linear_model_training_types.h:135
daal::algorithms::linear_regression::training::interface1::PartialResult
Provides methods to access a partial result obtained with the compute() method of linear regression m...
Definition: linear_regression_training_types.h:218
daal::algorithms::linear_regression::training::interface1::Online::clone
services::SharedPtr< Online< algorithmFPType, method > > clone() const
Definition: linear_regression_training_online.h:182
daal::algorithms::linear_regression::interface1::Parameter
Parameters for the linear regression algorithm.
Definition: linear_regression_model.h:82
daal::online
Definition: daal_defines.h:134
daal::algorithms::linear_model::training::interface1::Online
Provides methods for the linear model-based training in the online processing mode.
Definition: linear_model_training_online.h:80
daal::algorithms::linear_regression::training::interface1::Online
Provides methods for linear regression model-based training in the online processing mode...
Definition: linear_regression_training_online.h:125
daal::algorithms::linear_regression::training::interface1::Online::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: linear_regression_training_online.h:162
daal::algorithms::TrainingContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the model...
Definition: training.h:76
daal::algorithms::linear_regression::training::interface1::OnlineContainer
Class containing methods for linear regression model-based training in the online processing mode...
Definition: linear_regression_training_online.h:78