seldonian.models.objectives.Mean_Squared_Error

Mean_Squared_Error(model, theta, X, Y, **kwargs)

Calculate mean squared error over the whole sample

Parameters:

• model – SeldonianModel instance

• theta (numpy ndarray) – The parameter weights

• X (numpy ndarray) – The features

• Y (numpy ndarray) – The labels

Returns:

Sample mean squared error

Return type:

float