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::interface1::Batch
93 typedef algorithms::optimization_solver::adagrad::interface1::Input InputType;
94 typedef algorithms::optimization_solver::adagrad::interface1::Parameter ParameterType;
95 typedef algorithms::optimization_solver::adagrad::interface1::Result ResultType;
98 ParameterType parameter;
101 Batch(sum_of_functions::interface1::BatchPtr objectiveFunction = sum_of_functions::interface1::BatchPtr()) :
102 parameter(objectiveFunction)
113 Batch(
const Batch<algorithmFPType, method> &other) :
114 iterative_solver::interface1::Batch(other),
116 parameter(other.parameter)
125 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int) method; }
131 virtual iterative_solver::interface1::Input * getInput() DAAL_C11_OVERRIDE {
return &input; }
137 virtual iterative_solver::interface1::Parameter * getParameter() DAAL_C11_OVERRIDE {
return ¶meter; }
144 virtual services::Status createResult() DAAL_C11_OVERRIDE
146 _result = iterative_solver::interface1::ResultPtr(
new ResultType());
148 return services::Status();
156 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
158 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
165 static services::SharedPtr<Batch<algorithmFPType, method> > create();
168 virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
170 return new Batch<algorithmFPType, method>(*this);
173 virtual services::Status allocateResult() DAAL_C11_OVERRIDE
175 services::Status s =
static_cast<ResultType*
>(_result.get())->allocate<algorithmFPType>(&input, ¶meter, (
int)method);
176 _res = _result.get();
182 Analysis<batch>::_ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
185 _result.reset(
new ResultType());
206 template<
typename algorithmFPType, Method method, CpuType cpu>
207 class DAAL_EXPORT BatchContainer :
public daal::algorithms::AnalysisContainerIface<batch>
215 BatchContainer(daal::services::Environment::env *daalEnv);
223 virtual services::Status compute() DAAL_C11_OVERRIDE;
240 template<
typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
241 class DAAL_EXPORT Batch :
public iterative_solver::Batch
244 typedef algorithms::optimization_solver::adagrad::Input InputType;
245 typedef algorithms::optimization_solver::adagrad::Parameter ParameterType;
246 typedef algorithms::optimization_solver::adagrad::Result ResultType;
249 ParameterType parameter;
252 Batch(sum_of_functions::BatchPtr objectiveFunction = sum_of_functions::BatchPtr()) :
253 parameter(objectiveFunction)
264 Batch(
const Batch<algorithmFPType, method> &other) :
265 iterative_solver::Batch(other),
267 parameter(other.parameter)
276 virtual int getMethod() const DAAL_C11_OVERRIDE {
return(
int) method; }
282 virtual iterative_solver::Input * getInput() DAAL_C11_OVERRIDE {
return &input; }
288 virtual iterative_solver::Parameter * getParameter() DAAL_C11_OVERRIDE {
return ¶meter; }
295 virtual services::Status createResult() DAAL_C11_OVERRIDE
297 _result = iterative_solver::ResultPtr(
new ResultType());
299 return services::Status();
307 services::SharedPtr<Batch<algorithmFPType, method> > clone()
const
309 return services::SharedPtr<Batch<algorithmFPType, method> >(cloneImpl());
316 static services::SharedPtr<Batch<algorithmFPType, method> > create();
319 virtual Batch<algorithmFPType, method> *cloneImpl() const DAAL_C11_OVERRIDE
321 return new Batch<algorithmFPType, method>(*this);
324 virtual services::Status allocateResult() DAAL_C11_OVERRIDE
326 services::Status s =
static_cast<ResultType*
>(_result.get())->allocate<algorithmFPType>(&input, ¶meter, (
int)method);
327 _res = _result.get();
333 Analysis<batch>::_ac =
new __DAAL_ALGORITHM_CONTAINER(batch, BatchContainer, algorithmFPType, method)(&_env);
336 _result.reset(
new ResultType());
341 using interface2::BatchContainer;
342 using interface2::Batch;
daal::algorithms::optimization_solver::adagrad::interface1::Batch::Batch
Batch(sum_of_functions::interface1::BatchPtr objectiveFunction=sum_of_functions::interface1::BatchPtr())
Definition: adagrad_batch.h:101
daal::algorithms::optimization_solver::adagrad::interface2::Batch::clone
services::SharedPtr< Batch< algorithmFPType, method > > clone() const
Definition: adagrad_batch.h:307
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(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::interface2::Batch
Computes Adaptive gradient descent in the batch processing mode.
Definition: adagrad_batch.h:241
daal::algorithms::optimization_solver::iterative_solver::interface1::Parameter
Parameter base class for the iterative solver algorithm
Definition: iterative_solver_types.h:113
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::algorithms::optimization_solver::adagrad::interface1::Result
Results obtained with the compute() method of the adagrad algorithm in the batch processing mode...
Definition: adagrad_types.h:178
daal::algorithms::optimization_solver::adagrad::interface1::Batch::getParameter
virtual iterative_solver::interface1::Parameter * getParameter() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:137
daal::batch
Definition: daal_defines.h:110
daal::algorithms::optimization_solver::adagrad::interface2::Batch::parameter
ParameterType parameter
Definition: adagrad_batch.h:249
daal::algorithms::optimization_solver::adagrad::interface2::Batch::getMethod
virtual int getMethod() const DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:276
daal::algorithms::optimization_solver::adagrad::interface2::Batch::Batch
Batch(const Batch< algorithmFPType, method > &other)
Definition: adagrad_batch.h:264
daal::algorithms::optimization_solver::adagrad::interface2::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:207
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::adagrad::interface2::Batch::Batch
Batch(sum_of_functions::BatchPtr objectiveFunction=sum_of_functions::BatchPtr())
Definition: adagrad_batch.h:252
daal::algorithms::optimization_solver::adagrad::interface2::Batch::createResult
virtual services::Status createResult() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:295
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::interface2::Batch::getParameter
virtual iterative_solver::Parameter * getParameter() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:288
daal::algorithms::optimization_solver::adagrad::interface2::Batch::input
InputType input
Definition: adagrad_batch.h:248
daal::algorithms::optimization_solver::adagrad::interface1::Batch::getInput
virtual iterative_solver::interface1::Input * getInput() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:131
daal::algorithms::optimization_solver::adagrad::interface2::Batch::getInput
virtual iterative_solver::Input * getInput() DAAL_C11_OVERRIDE
Definition: adagrad_batch.h:282
daal::algorithms::optimization_solver::adagrad::interface1::BatchContainer
Provides methods to run implementations of the adaptive gradient descent algorithm.
Definition: adagrad_batch.h:56
daal::algorithms::optimization_solver::adagrad::interface1::Parameter
Parameter base class for the Adaptive gradient descent algorithm
Definition: adagrad_types.h:84
daal::algorithms::kmeans::objectiveFunction
Definition: kmeans_types.h:109