24 #ifndef __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
25 #define __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
27 #include "algorithms/algorithm.h"
28 #include "algorithms/classifier/classifier_training_types.h"
29 #include "algorithms/logistic_regression/logistic_regression_model.h"
30 #include "algorithms/optimization_solver/iterative_solver/iterative_solver_batch.h"
36 namespace logistic_regression
70 struct DAAL_EXPORT Parameter :
public classifier::interface1::Parameter
72 typedef optimization_solver::iterative_solver::interface1::BatchPtr SolverPtr;
75 DAAL_DEPRECATED Parameter(
size_t nClasses,
const SolverPtr& solver = SolverPtr());
76 DAAL_DEPRECATED Parameter(
const Parameter& o) : classifier::interface1::Parameter(o), interceptFlag(o.interceptFlag),
77 penaltyL1(o.penaltyL1), penaltyL2(o.penaltyL2), optimizationSolver(o.optimizationSolver){}
78 services::Status check()
const DAAL_C11_OVERRIDE;
83 SolverPtr optimizationSolver;
92 class DAAL_EXPORT Result :
public classifier::training::Result
95 DECLARE_SERIALIZABLE_CAST(Result);
97 DAAL_DEPRECATED Result();
98 DAAL_DEPRECATED_VIRTUAL
virtual ~Result() {}
105 DAAL_DEPRECATED ModelPtr
get(classifier::training::ResultId id)
const;
112 DAAL_DEPRECATED
void set(classifier::training::ResultId
id,
const ModelPtr &value);
121 template <
typename algorithmFPType>
122 DAAL_EXPORT DAAL_DEPRECATED services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
131 DAAL_DEPRECATED services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
135 template<
typename Archive,
bool onDeserialize>
136 services::Status serialImpl(Archive *arch)
138 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
141 typedef services::SharedPtr<Result> ResultPtr;
157 struct DAAL_EXPORT Parameter :
public classifier::interface1::Parameter
159 typedef optimization_solver::iterative_solver::BatchPtr SolverPtr;
162 DAAL_DEPRECATED Parameter(
size_t nClasses,
const SolverPtr& solver = SolverPtr());
163 DAAL_DEPRECATED Parameter(
const Parameter& o) : classifier::interface1::Parameter(o), interceptFlag(o.interceptFlag),
164 penaltyL1(o.penaltyL1), penaltyL2(o.penaltyL2), optimizationSolver(o.optimizationSolver){}
165 services::Status check()
const DAAL_C11_OVERRIDE;
170 SolverPtr optimizationSolver;
179 class DAAL_EXPORT Result :
public classifier::training::Result
182 DECLARE_SERIALIZABLE_CAST(Result);
192 ModelPtr
get(classifier::training::ResultId id)
const;
199 void set(classifier::training::ResultId
id,
const ModelPtr &value);
208 template <
typename algorithmFPType>
209 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
218 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
222 template<
typename Archive,
bool onDeserialize>
223 services::Status serialImpl(Archive *arch)
225 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
228 typedef services::SharedPtr<Result> ResultPtr;
231 using interface2::Result;
232 using interface2::ResultPtr;
243 struct DAAL_EXPORT Parameter :
public classifier::Parameter
245 typedef optimization_solver::iterative_solver::BatchPtr SolverPtr;
248 Parameter(
size_t nClasses,
const SolverPtr& solver = SolverPtr());
249 Parameter(
const Parameter& o) : classifier::Parameter(o), interceptFlag(o.interceptFlag),
250 penaltyL1(o.penaltyL1), penaltyL2(o.penaltyL2), optimizationSolver(o.optimizationSolver){}
251 services::Status check()
const DAAL_C11_OVERRIDE;
256 SolverPtr optimizationSolver;
260 using interface3::Parameter;
267 #endif // __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
daal::algorithms::logistic_regression::training::interface2::Result
Provides methods to access the result obtained with the compute() method of model-based training...
Definition: logistic_regression_training_types.h:179
daal::algorithms::logistic_regression::training::interface2::Parameter::penaltyL1
float penaltyL1
Definition: logistic_regression_training_types.h:168
daal::algorithms::logistic_regression::training::interface2::Parameter
logistic regression algorithm parameters
Definition: logistic_regression_training_types.h:157
daal::algorithms::logistic_regression::training::interface3::Parameter::optimizationSolver
SolverPtr optimizationSolver
Definition: logistic_regression_training_types.h:256
daal::algorithms::logistic_regression::training::interface3::Parameter::penaltyL1
float penaltyL1
Definition: logistic_regression_training_types.h:254
daal::algorithms::logistic_regression::training::interface1::Parameter::optimizationSolver
SolverPtr optimizationSolver
Definition: logistic_regression_training_types.h:83
daal::algorithms::logistic_regression::training::interface1::Parameter::penaltyL1
float penaltyL1
Definition: logistic_regression_training_types.h:81
daal::algorithms::logistic_regression::training::defaultDense
Definition: logistic_regression_training_types.h:55
daal::algorithms::logistic_regression::training::interface3::Parameter::interceptFlag
bool interceptFlag
Definition: logistic_regression_training_types.h:253
daal::algorithms::logistic_regression::training::interface2::Parameter::optimizationSolver
SolverPtr optimizationSolver
Definition: logistic_regression_training_types.h:170
daal::algorithms::logistic_regression::training::interface2::Parameter::interceptFlag
bool interceptFlag
Definition: logistic_regression_training_types.h:167
daal::algorithms::logistic_regression::training::interface1::Parameter::penaltyL2
float penaltyL2
Definition: logistic_regression_training_types.h:82
daal::algorithms::logistic_regression::training::interface1::Result
Provides methods to access the result obtained with the compute() method of model-based training...
Definition: logistic_regression_training_types.h:92
daal::algorithms::classifier::interface1::Parameter
Base class for the parameters of the classification algorithm.
Definition: classifier_model.h:69
daal::algorithms::logistic_regression::training::interface2::Parameter::penaltyL2
float penaltyL2
Definition: logistic_regression_training_types.h:169
daal::algorithms::logistic_regression::training::interface1::Parameter::interceptFlag
bool interceptFlag
Definition: logistic_regression_training_types.h:80
daal::algorithms::math::abs::value
Definition: abs_types.h:88
daal::algorithms::classifier::training::ResultId
ResultId
Definition: classifier_training_types.h:82
daal::algorithms::logistic_regression::training::interface3::Parameter::penaltyL2
float penaltyL2
Definition: logistic_regression_training_types.h:255
daal::algorithms::logistic_regression::training::Method
Method
Computation methods for logistic regression model-based training.
Definition: logistic_regression_training_types.h:53
daal::algorithms::logistic_regression::training::interface1::Parameter
logistic regression algorithm parameters
Definition: logistic_regression_training_types.h:70
daal::algorithms::logistic_regression::training::interface3::Parameter
logistic regression algorithm parameters
Definition: logistic_regression_training_types.h:243