Vowpal Wabbit: loss_function Class Reference

Vowpal Wabbit

#include <loss_functions.h>

Inheritance diagram for loss_function:

Public Member Functions
virtual std::string	getType ()=0

virtual float	getLoss (shared_data *, float prediction, float label)=0

virtual float	getUpdate (float prediction, float label, float update_scale, float pred_per_update)=0

virtual float	getUnsafeUpdate (float prediction, float label, float eta_t)=0

virtual float	getRevertingWeight (shared_data *, float prediction, float eta_t)=0

virtual float	getSquareGrad (float prediction, float label)=0

virtual float	first_derivative (shared_data *, float prediction, float label)=0

virtual float	second_derivative (shared_data *, float prediction, float label)=0

virtual	~loss_function ()

Detailed Description

Definition at line 13 of file loss_functions.h.

Constructor & Destructor Documentation

◆ ~loss_function()

virtual loss_function::~loss_function ( )

inlinevirtual

Definition at line 41 of file loss_functions.h.

References getLossFunction().

41 {};

Member Function Documentation

◆ first_derivative()

virtual float loss_function::first_derivative	(	shared_data *	,
		float	prediction,
		float	label
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by GD::compute_update(), SVRG::gradient_scalar(), learn(), predict_and_gradient(), predict_or_learn_multi(), update_after_prediction_cb(), update_after_prediction_pistol(), and update_after_prediction_proximal().

◆ getLoss()

virtual float loss_function::getLoss	(	shared_data *	,
		float	prediction,
		float	label
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by bs_predict_mean(), MARGINAL::compute_expert_loss(), GD::compute_update(), get_best_constant(), MARGINAL::make_marginal(), mf_predict(), predict_or_learn(), process_example(), receive_result(), and MARGINAL::update_marginal().

◆ getRevertingWeight()

virtual float loss_function::getRevertingWeight	(	shared_data *	,
		float	prediction,
		float	eta_t
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

◆ getSquareGrad()

virtual float loss_function::getSquareGrad	(	float	prediction,
		float	label
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by GD::get_pred_per_update().

◆ getType()

virtual std::string loss_function::getType ( )

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by baseline_setup(), cs_active_setup(), CSOAA::csldf_setup(), get_best_constant(), and oaa_setup().

◆ getUnsafeUpdate()

virtual float loss_function::getUnsafeUpdate	(	float	prediction,
		float	label,
		float	eta_t
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by GD::compute_update().

◆ getUpdate()

virtual float loss_function::getUpdate	(	float	prediction,
		float	label,
		float	update_scale,
		float	pred_per_update
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by GD::compute_update(), and mf_train().

◆ second_derivative()

virtual float loss_function::second_derivative	(	shared_data *	,
		float	prediction,
		float	label
	)

pure virtual

Implemented in poisson_loss, quantileloss, logloss, hingeloss, classic_squaredloss, and squaredloss.

Referenced by process_example(), and update_preconditioner().

The documentation for this class was generated from the following file:

/mnt/c/w/linux/vowpal_wabbit/vowpalwabbit/loss_functions.h