losses.mse.MeanSquaredError Class Reference

Collaboration diagram for losses.mse.MeanSquaredError:

Public Member Functions
	__init__ (self, reduction="mean")

Additional Inherited Members
Data Fields inherited from losses.loss.LossFunction
	reduction

Detailed Description

Mean Squared Error (MSE) Loss Function with reduction type.

Definition at line 5 of file mse.py.

Constructor & Destructor Documentation

__init__()

losses.mse.MeanSquaredError.__init__	(		self,
			reduction = "mean"
	)

Initialize the MSE loss function.
Args:
    reduction (str): Reduction type ('mean', 'sum').

Reimplemented from losses.loss.LossFunction.

Definition at line 9 of file mse.py.

    def __init__(self, reduction="mean"):
        """
        Initialize the MSE loss function.
        Args:
            reduction (str): Reduction type ('mean', 'sum').
        """
        super().__init__(reduction)

References losses.mse.MeanSquaredError.__init__().

Referenced by losses.mse.MeanSquaredError.__init__().

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

• runtime/onert/api/python/package/experimental/train/losses/mse.py