plusml::LossGradient Class Reference

Base class for loss gradient implementations. More...

#include <loss_gradient.h>

Public Member Functions
virtual Eigen::MatrixXf	Compute (const Eigen::MatrixXf &parameters, const Eigen::MatrixXf &X, const Eigen::MatrixXf &y) const =0
	Virtual function describing the gradient computation function interface.

Detailed Description

Base class for loss gradient implementations.

Member Function Documentation

Compute()

virtual Eigen::MatrixXf plusml::LossGradient::Compute ( const Eigen::MatrixXf & parameters, const Eigen::MatrixXf & X, const Eigen::MatrixXf & y ) const

pure virtual

Virtual function describing the gradient computation function interface.

Parameters

parameters	Parameters of the model
X	Matrix of samples
y	Matrix of targets

Returns

Matrix representing calculated gradient

Implemented in plusml::MAEGrad, and plusml::MSEGrad.

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

• include/PlusML/gradient/loss_gradient.h