23 #ifndef __ADAGRAD_BATCH_H__
24 #define __ADAGRAD_BATCH_H__
26 #include "algorithms/algorithm.h"
27 #include "data_management/data/numeric_table.h"
28 #include "services/daal_defines.h"
29 #include "algorithms/optimization_solver/iterative_solver/iterative_solver_batch.h"
30 #include "adagrad_types.h"
36 namespace optimization_solver
55 template<
typename algorithmFPType, Method method, CpuType cpu>
56 class DAAL_EXPORT BatchContainer :
public daal::algorithms::AnalysisContainerIface<batch>
64 BatchContainer(daal::services::Environment::env *daalEnv);
72 virtual services::Status compute() DAAL_C11_OVERRIDE;
89 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
90 class DAAL_EXPORT Batch :
public iterative_solver::Batch
93 typedef algorithms::optimization_solver::adagrad::Input InputType;
94 typedef algorithms::optimization_solver::adagrad::Parameter ParameterType;
95 typedef algorithms::optimization_solver::adagrad::Result ResultType;
98 ParameterType parameter;
101 Batch(sum_of_functions::BatchPtr objectiveFunction = sum_of_functions::BatchPtr()) :
102 parameter(objectiveFunction)
113 Batch(
const Batch<algorithmFPType, method> &other) :
114 iterative_solver::Batch(other),
116 parameter(other.parameter)
125 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int) method; }
131 virtual iterative_solver::Input * getInput() DAAL_C11_OVERRIDE {
return &input; }
137 virtual iterative_solver::Parameter * getParameter() DAAL_C11_OVERRIDE {
return ¶meter; }
144 virtual services::Status createResult() DAAL_C11_OVERRIDE
146 _result = iterative_solver::ResultPtr(
new ResultType());
148 return services::Status();
156 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
158 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
162 virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
164 return new Batch<algorithmFPType, method>(*this);
167 virtual services::Status allocateResult() DAAL_C11_OVERRIDE
169 services::Status s =
static_cast<ResultType*
>(_result.get())->allocate<algorithmFPType>(&input, ¶meter, (
int)method);
170 _res = _result.get();
176 Analysis<batch>::_ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
179 _result.reset(
new ResultType());
184 using interface1::BatchContainer;
185 using interface1::Batch;
daal::algorithms::optimization_solver::adagrad::interface1::Batch::getInput
virtual iterative_solver::Input * getInput() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:131
daal
Definition: algorithm_base_common.h:31
daal::algorithms::optimization_solver::adagrad::interface1::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:125
daal::algorithms::AnalysisContainerIface
Abstract interface class that provides virtual methods to access and run implementations of the analy...
Definition: analysis.h:53
daal::algorithms::optimization_solver::adagrad::interface1::Batch::Batch
Batch(sum_of_functions::BatchPtr objectiveFunction=sum_of_functions::BatchPtr())
Definition: adagrad_batch.h:101
daal::algorithms::optimization_solver::adagrad::interface1::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: adagrad_batch.h:113
daal::algorithms::optimization_solver::adagrad::interface1::Batch
Computes Adaptive gradient descent in the batch processing mode.
Definition: adagrad_batch.h:90
daal::algorithms::optimization_solver::adagrad::interface1::Batch::getParameter
virtual iterative_solver::Parameter * getParameter() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:137
daal::algorithms::optimization_solver::adagrad::interface1::Batch::parameter
ParameterType parameter
Definition: adagrad_batch.h:98
daal::algorithms::optimization_solver::adagrad::interface1::Batch::input
InputType input
Definition: adagrad_batch.h:97
daal::batch
Definition: daal_defines.h:106
daal::algorithms::Analysis
Provides methods for execution of operations over data, such as computation of Summary Statistics est...
Definition: analysis.h:68
daal::algorithms::optimization_solver::adagrad::interface1::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: adagrad_batch.h:156
daal::algorithms::optimization_solver::iterative_solver::interface1::Batch
Interface for computing the iterative solver in the batch processing mode.
Definition: iterative_solver_batch.h:52
daal::algorithms::optimization_solver::adagrad::interface1::Batch::createResult
virtual services::Status createResult() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:144
daal::algorithms::optimization_solver::adagrad::interface1::BatchContainer
Provides methods to run implementations of the adaptive gradient descent algorithm. This class is associated with daal::algorithms::optimization_solver::adagrad::BatchContainer class.
Definition: adagrad_batch.h:56
daal::algorithms::kmeans::objectiveFunction
Definition: kmeans_types.h:109