10 #ifndef MULTITASKLOGISTICREGRESSION_H_
11 #define MULTITASKLOGISTICREGRESSION_H_
60 return "MultitaskLogisticRegression";
64 int32_t get_max_iter()
const;
68 int32_t get_regularization()
const;
70 int32_t get_termination()
const;
77 void set_max_iter(int32_t max_iter);
81 void set_regularization(int32_t regularization);
83 void set_termination(int32_t termination);
95 virtual bool train_machine(
CFeatures* data=NULL);
103 void register_parameters();
106 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
virtual const char * get_name() const
The class Features is the base class of all feature objects.
Binary Labels for binary classification.
used to represent tasks in multitask learning