Inheritance diagram for classias::classify::linear_binary_hinge< model_tmpl >:
This template class implements a loss function for training algorithms.
| model_tmpl | The type of a model (container of feature weights). Any type that yields a feature weight with operator std::vector, std::map). |
Public Types | |
| typedef model_tmpl | model_type |
| The type of a model. | |
| typedef model_type::value_type | value_type |
| The type of a feature weight. | |
| typedef linear_binary< model_tmpl > | base_type |
| Tne type of the base class. | |
Public Member Functions | |
| linear_binary_hinge (model_type &model) | |
| Constructs an object. | |
| virtual | ~linear_binary_hinge () |
| Destructs an object. | |
| value_type | error (bool b) const |
| Computes the error of the classification result. | |
| value_type | error (bool b, value_type &loss) const |
| Computes the error and loss of the classification result. | |
Static Public Member Functions | |
| static const char * | name () |
| Returns the name of this classifier. | |
| classias::classify::linear_binary_hinge< model_tmpl >::linear_binary_hinge | ( | model_type & | model | ) | [inline] |
Constructs an object.
| model | The model associated with the classifier. |
| value_type classias::classify::linear_binary_hinge< model_tmpl >::error | ( | bool | b | ) | const [inline] |
Computes the error of the classification result.
| b | The reference label for this instance. |
| value_type classias::classify::linear_binary_hinge< model_tmpl >::error | ( | bool | b, | |
| value_type & | loss | |||
| ) | const [inline] |
Computes the error and loss of the classification result.
| b | The reference label for this instance. | |
| loss | The loss. |
| static const char* classias::classify::linear_binary_hinge< model_tmpl >::name | ( | ) | [inline, static] |
Returns the name of this classifier.
Reimplemented from classias::classify::linear_binary< model_tmpl >.