plusml::MAEGrad Class Reference

Class implementing Mean Absolute Error gradient. More...

#include <mae_grad.h>

Public Member Functions
Eigen::MatrixXf	Compute (const Eigen::MatrixXf &w, const Eigen::MatrixXf &X, const Eigen::MatrixXf &y) const override
	Calculate the MAE gradient for given inputs.

Detailed Description

Class implementing Mean Absolute Error gradient.

Member Function Documentation

Compute()

Eigen::MatrixXf plusml::MAEGrad::Compute ( const Eigen::MatrixXf & w, const Eigen::MatrixXf & X, const Eigen::MatrixXf & y ) const

overridevirtual

Calculate the MAE gradient for given inputs.

Parameters

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

Returns

Matrix representing calculated gradient

Implements plusml::LossGradient.

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

• include/PlusML/gradient/mae_grad/mae_grad.h
• src/gradient/mae_grad/mae_grad.cpp