24 #ifndef __RIDGE_REGRESSION_TRAINING_TYPES_H__
25 #define __RIDGE_REGRESSION_TRAINING_TYPES_H__
27 #include "algorithms/algorithm.h"
28 #include "data_management/data/numeric_table.h"
29 #include "algorithms/ridge_regression/ridge_regression_model.h"
30 #include "algorithms/linear_model/linear_model_training_types.h"
39 namespace ridge_regression
68 data = linear_model::training::data,
69 dependentVariables = linear_model::training::dependentVariables,
70 lastInputId = dependentVariables
77 enum Step2MasterInputId
80 lastStep2MasterInputId = partialModels
90 lastPartialResultID = partialModel
99 model = linear_model::training::model,
119 virtual size_t getNumberOfFeatures()
const = 0;
125 virtual size_t getNumberOfDependentVariables()
const = 0;
127 virtual ~InputIface() {}
134 class DAAL_EXPORT Input :
public linear_model::training::Input,
public InputIface
139 Input(
const Input& other);
148 data_management::NumericTablePtr
get(InputId id)
const;
155 void set(InputId
id,
const data_management::NumericTablePtr &value);
161 size_t getNumberOfFeatures()
const DAAL_C11_OVERRIDE;
167 size_t getNumberOfDependentVariables()
const DAAL_C11_OVERRIDE;
176 services::Status check(
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
183 template<ComputeStep step>
184 class DistributedInput
192 class DAAL_EXPORT PartialResult :
public linear_model::training::PartialResult
195 DECLARE_SERIALIZABLE_CAST(PartialResult);
203 daal::algorithms::ridge_regression::ModelPtr
get(PartialResultID id)
const;
209 size_t getNumberOfFeatures()
const;
215 size_t getNumberOfDependentVariables()
const;
222 void set(PartialResultID
id,
const daal::algorithms::ridge_regression::ModelPtr &value);
232 template <
typename algorithmFPType>
233 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
243 template <
typename algorithmFPType>
244 DAAL_EXPORT services::Status initialize(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
254 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
263 services::Status check(
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
267 template<
typename Archive,
bool onDeserialize>
268 services::Status serialImpl(Archive *arch)
270 return daal::algorithms::PartialResult::serialImpl<Archive, onDeserialize>(arch);
273 typedef services::SharedPtr<PartialResult> PartialResultPtr;
274 typedef services::SharedPtr<const PartialResult> PartialResultConstPtr;
280 template<>
class DAAL_EXPORT DistributedInput<step2Master> :
public daal::algorithms::Input,
public InputIface
284 DistributedInput(
const DistributedInput& other);
291 data_management::DataCollectionPtr
get(Step2MasterInputId id)
const;
298 void set(Step2MasterInputId
id,
const data_management::DataCollectionPtr &ptr);
305 void add(Step2MasterInputId
id,
const PartialResultPtr &partialResult);
311 size_t getNumberOfFeatures()
const DAAL_C11_OVERRIDE;
317 size_t getNumberOfDependentVariables()
const DAAL_C11_OVERRIDE;
325 services::Status check(
const daal::algorithms::Parameter *parameter,
int method)
const DAAL_C11_OVERRIDE;
334 class DAAL_EXPORT Result :
public linear_model::training::Result
337 DECLARE_SERIALIZABLE_CAST(Result);
345 ridge_regression::ModelPtr
get(ResultId id)
const;
352 void set(ResultId
id,
const ridge_regression::ModelPtr &value);
362 template<
typename algorithmFPType>
363 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const Parameter *parameter,
const int method);
373 template<
typename algorithmFPType>
374 DAAL_EXPORT services::Status allocate(
const daal::algorithms::PartialResult *partialResult,
const Parameter *parameter,
int method);
384 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
394 services::Status check(
const daal::algorithms::PartialResult *pr,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
398 template<
typename Archive,
bool onDeserialize>
399 services::Status serialImpl(Archive *arch)
401 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
404 typedef services::SharedPtr<Result> ResultPtr;
405 typedef services::SharedPtr<const Result> ResultConstPtr;
408 using interface1::InputIface;
409 using interface1::Input;
410 using interface1::DistributedInput;
411 using interface1::PartialResult;
412 using interface1::PartialResultPtr;
413 using interface1::PartialResultConstPtr;
414 using interface1::Result;
415 using interface1::ResultPtr;
416 using interface1::ResultConstPtr;
daal::algorithms::ridge_regression::training::model
Definition: ridge_regression_training_types.h:99
daal::algorithms::linear_model::training::dependentVariables
Definition: linear_model_training_types.h:56
daal::algorithms::ridge_regression::training::dependentVariables
Definition: ridge_regression_training_types.h:69
daal::algorithms::linear_model::training::data
Definition: linear_model_training_types.h:55
daal::algorithms::ridge_regression::training::defaultDense
Definition: ridge_regression_training_types.h:58
daal::algorithms::ridge_regression::training::interface1::InputIface::getNumberOfDependentVariables
virtual size_t getNumberOfDependentVariables() const =0
daal::algorithms::ridge_regression::training::interface1::Result
Provides methods to access the result obtained with the compute() method of ridge regression model-ba...
Definition: ridge_regression_training_types.h:334
daal::algorithms::ridge_regression::training::Step2MasterInputId
Step2MasterInputId
Available identifiers of input objects for ridge regression model-based training in the second step o...
Definition: ridge_regression_training_types.h:77
daal::step2Master
Definition: daal_defines.h:124
daal::algorithms::linear_model::training::model
Definition: linear_model_training_types.h:66
daal::algorithms::ridge_regression::training::normEqDense
Definition: ridge_regression_training_types.h:59
daal::algorithms::ridge_regression::training::InputId
InputId
Available identifiers of input objects for ridge regression model-based training. ...
Definition: ridge_regression_training_types.h:66
daal::algorithms::ridge_regression::training::interface1::InputIface
Abstract class that specifies the interface of input objects for ridge regression model-based trainin...
Definition: ridge_regression_training_types.h:112
daal::algorithms::ridge_regression::training::ResultId
ResultId
Available identifiers of the result of ridge regression model-based training.
Definition: ridge_regression_training_types.h:97
daal::algorithms::ridge_regression::training::interface1::PartialResult
Provides methods to access a partial result obtained with the compute() method of ridge regression mo...
Definition: ridge_regression_training_types.h:192
daal::algorithms::ridge_regression::training::Method
Method
Computation methods for ridge regression model-based training.
Definition: ridge_regression_training_types.h:56
daal::algorithms::ridge_regression::training::partialModel
Definition: ridge_regression_training_types.h:89
daal::algorithms::ridge_regression::training::partialModels
Definition: ridge_regression_training_types.h:79
daal::algorithms::ridge_regression::training::interface1::InputIface::getNumberOfFeatures
virtual size_t getNumberOfFeatures() const =0
daal::algorithms::math::abs::value
Definition: abs_types.h:88
daal::algorithms::ridge_regression::training::interface1::DistributedInput
Input object for ridge regression model-based training in the distributed processing mode ...
Definition: ridge_regression_training_types.h:184
daal::algorithms::ridge_regression::training::data
Definition: ridge_regression_training_types.h:68
daal::algorithms::ridge_regression::training::interface1::Input
Input objects for ridge regression model-based training
Definition: ridge_regression_training_types.h:134
daal::algorithms::ridge_regression::training::PartialResultID
PartialResultID
Available identifiers of a partial result of ridge regression model-based training.
Definition: ridge_regression_training_types.h:87