10 #ifndef MULTITASKLSREGRESSION_H_
11 #define MULTITASKLSREGRESSION_H_
54 return "MultitaskLeastSquaresRegression";
97 void register_parameters();
100 void initialize_parameters();
void set_regularization(int32_t regularization)
Real Labels are real-valued labels.
int32_t get_regularization() const
int32_t get_termination() const
int32_t get_max_iter() const
class Multitask Least Squares Regression, a machine to solve regression problems with a few tasks rel...
CMultitaskLeastSquaresRegression()
virtual bool train_machine(CFeatures *data=NULL)
Features that support dot products among other operations.
void set_termination(int32_t termination)
#define MACHINE_PROBLEM_TYPE(PT)
virtual ~CMultitaskLeastSquaresRegression()
void set_tolerance(float64_t tolerance)
class MultitaskLinearMachine, a base class for linear multitask classifiers
virtual float64_t apply_one(int32_t i)
all of classes and functions are contained in the shogun namespace
float64_t get_tolerance() const
The class Features is the base class of all feature objects.
void set_max_iter(int32_t max_iter)
used to represent tasks in multitask learning
virtual bool train_locked_implementation(SGVector< index_t > *tasks)
virtual const char * get_name() const