10 #ifndef MULTITASKLOGISTICREGRESSION_H_ 11 #define MULTITASKLOGISTICREGRESSION_H_ 62 return "MultitaskLogisticRegression";
66 int32_t get_max_iter()
const;
70 int32_t get_regularization()
const;
72 int32_t get_termination()
const;
79 void set_max_iter(int32_t max_iter);
83 void set_regularization(int32_t regularization);
85 void set_termination(int32_t termination);
97 virtual bool train_machine(
CFeatures* data=NULL);
105 void register_parameters();
108 void initialize_parameters();
Features that support dot products among other operations.
class Multitask Logistic Regression used to solve classification problems with a few tasks related vi...
#define MACHINE_PROBLEM_TYPE(PT)
class MultitaskLinearMachine, a base class for linear multitask classifiers
all of classes and functions are contained in the shogun namespace
The class Features is the base class of all feature objects.
Binary Labels for binary classification
used to represent tasks in multitask learning
virtual const char * get_name() const