Base class for all VW learners.
Learners are supplied with a regressor and the environment.
They should implement a train function which updates the weight vector given the update for the example.
Definition at line 33 of file VwLearner.h.
Public Member Functions | |
CVwLearner () | |
CVwLearner (CVwRegressor *regressor, CVwEnvironment *vw_env) | |
virtual | ~CVwLearner () |
void | register_learner_params () |
virtual void | train (VwExample *&ex, float32_t update)=0 |
virtual const char * | get_name () const |
Protected Attributes | |
CVwRegressor * | reg |
Regressor object that will be used for getting updates. | |
CVwEnvironment * | env |
Environment. |
CVwLearner | ( | ) |
Default constructor
Definition at line 39 of file VwLearner.h.
CVwLearner | ( | CVwRegressor * | regressor, | |
CVwEnvironment * | vw_env | |||
) |
Constructor, initializes regressor and environment
regressor | regressor | |
vw_env | environment |
Definition at line 51 of file VwLearner.h.
virtual ~CVwLearner | ( | ) | [virtual] |
Destructor
Definition at line 62 of file VwLearner.h.
virtual const char* get_name | ( | void | ) | const [virtual] |
Return the name of the object
Implements CSGObject.
Reimplemented in CVwAdaptiveLearner, and CVwNonAdaptiveLearner.
Definition at line 94 of file VwLearner.h.
void register_learner_params | ( | ) |
Add parameters to make them serializable
Definition at line 73 of file VwLearner.h.
Train on the example
ex | example | |
update | update |
Implemented in CVwAdaptiveLearner, and CVwNonAdaptiveLearner.
CVwEnvironment* env [protected] |
Environment.
Definition at line 100 of file VwLearner.h.
CVwRegressor* reg [protected] |
Regressor object that will be used for getting updates.
Definition at line 98 of file VwLearner.h.