phitodeep.loss

Classes

LossBase
MeanSquaredError
CategoricalCrossEntropy
BinaryCrossEntropy
Hinge
Huber

Module Contents

class phitodeep.loss.LossBase(name)

name

abstractmethod loss_func(y_pred, y_true)

abstractmethod loss_gradient(y_pred, y_true)

class phitodeep.loss.MeanSquaredError

Bases: LossBase

loss_func(y_pred, y_true)

loss_gradient(y_pred, y_true)

class phitodeep.loss.CategoricalCrossEntropy

Bases: LossBase

loss_func(y_pred, y_true)

loss_gradient(y_pred, y_true)

class phitodeep.loss.BinaryCrossEntropy

Bases: LossBase

loss_func(y_pred, y_true)

loss_gradient(y_pred, y_true)

class phitodeep.loss.Hinge

Bases: LossBase

loss_func(y_pred, y_true)

loss_gradient(y_pred, y_true)

class phitodeep.loss.Huber(delta=1.0)

Bases: LossBase

delta = 1.0

loss_func(y_pred, y_true)

loss_gradient(y_pred, y_true)