22 #ifndef __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
23 #define __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
25 #include "algorithms/algorithm.h"
26 #include "algorithms/classifier/classifier_training_types.h"
27 #include "algorithms/logistic_regression/logistic_regression_model.h"
28 #include "algorithms/optimization_solver/iterative_solver/iterative_solver_batch.h"
34 namespace logistic_regression
68 struct DAAL_EXPORT Parameter :
public classifier::Parameter
70 typedef optimization_solver::iterative_solver::interface1::BatchPtr SolverPtr;
73 Parameter(
size_t nClasses,
const SolverPtr& solver = SolverPtr());
74 Parameter(
const Parameter& o) : classifier::Parameter(o), interceptFlag(o.interceptFlag),
75 penaltyL1(o.penaltyL1), penaltyL2(o.penaltyL2), optimizationSolver(o.optimizationSolver){}
76 services::Status check()
const DAAL_C11_OVERRIDE;
81 SolverPtr optimizationSolver;
90 class DAAL_EXPORT Result :
public classifier::training::Result
93 DECLARE_SERIALIZABLE_CAST(Result);
103 ModelPtr
get(classifier::training::ResultId id)
const;
110 void set(classifier::training::ResultId
id,
const ModelPtr &value);
119 template <
typename algorithmFPType>
120 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
129 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
133 template<
typename Archive,
bool onDeserialize>
134 services::Status serialImpl(Archive *arch)
136 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
139 typedef services::SharedPtr<Result> ResultPtr;
155 struct DAAL_EXPORT Parameter :
public classifier::Parameter
157 typedef optimization_solver::iterative_solver::BatchPtr SolverPtr;
160 Parameter(
size_t nClasses,
const SolverPtr& solver = SolverPtr());
161 Parameter(
const Parameter& o) : classifier::Parameter(o), interceptFlag(o.interceptFlag),
162 penaltyL1(o.penaltyL1), penaltyL2(o.penaltyL2), optimizationSolver(o.optimizationSolver){}
163 services::Status check()
const DAAL_C11_OVERRIDE;
168 SolverPtr optimizationSolver;
177 class DAAL_EXPORT Result :
public classifier::training::Result
180 DECLARE_SERIALIZABLE_CAST(Result);
190 ModelPtr
get(classifier::training::ResultId id)
const;
197 void set(classifier::training::ResultId
id,
const ModelPtr &value);
206 template <
typename algorithmFPType>
207 DAAL_EXPORT services::Status allocate(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *parameter,
const int method);
216 services::Status check(
const daal::algorithms::Input *input,
const daal::algorithms::Parameter *par,
int method)
const DAAL_C11_OVERRIDE;
220 template<
typename Archive,
bool onDeserialize>
221 services::Status serialImpl(Archive *arch)
223 return daal::algorithms::Result::serialImpl<Archive, onDeserialize>(arch);
226 typedef services::SharedPtr<Result> ResultPtr;
229 using interface2::Parameter;
230 using interface2::Result;
231 using interface2::ResultPtr;
238 #endif // __LOGISTIC_REGRESSION_TRAINING_TYPES_H__
daal::algorithms::logistic_regression::training::Method
Method
Computation methods for logistic regression model-based training.
Definition: logistic_regression_training_types.h:51
daal::algorithms::logistic_regression::training::interface1::Parameter::penaltyL1
float penaltyL1
Definition: logistic_regression_training_types.h:79
daal
Definition: algorithm_base_common.h:31
daal::algorithms::logistic_regression::training::interface2::Parameter::interceptFlag
bool interceptFlag
Definition: logistic_regression_training_types.h:165
daal::algorithms::logistic_regression::training::defaultDense
Definition: logistic_regression_training_types.h:53
daal::algorithms::logistic_regression::training::interface2::Parameter
logistic regression algorithm parameters
Definition: logistic_regression_training_types.h:155
daal::algorithms::logistic_regression::training::interface2::Parameter::penaltyL1
float penaltyL1
Definition: logistic_regression_training_types.h:166
daal::algorithms::logistic_regression::training::interface1::Parameter
logistic regression algorithm parameters
Definition: logistic_regression_training_types.h:68
daal::algorithms::logistic_regression::training::interface1::Parameter::penaltyL2
float penaltyL2
Definition: logistic_regression_training_types.h:80
daal::algorithms::logistic_regression::training::interface1::Parameter::optimizationSolver
SolverPtr optimizationSolver
Definition: logistic_regression_training_types.h:81
daal::algorithms::logistic_regression::training::interface2::Parameter::penaltyL2
float penaltyL2
Definition: logistic_regression_training_types.h:167
daal::algorithms::logistic_regression::training::interface2::Parameter::optimizationSolver
SolverPtr optimizationSolver
Definition: logistic_regression_training_types.h:168
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:90
daal::algorithms::classifier::training::ResultId
ResultId
Definition: classifier_training_types.h:80
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:177
daal::algorithms::logistic_regression::training::interface1::Parameter::interceptFlag
bool interceptFlag
Definition: logistic_regression_training_types.h:78
daal::algorithms::math::abs::value
Definition: abs_types.h:86