seldonian.models.objectives.gradient_Mean_Squared_Error

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

Gradient of the mean squared error w.r.t. theta

Parameters:

• model – SeldonianModel instance

• theta (numpy ndarray) – The parameter weights

• X (numpy ndarray) – The features

• Y (numpy ndarray) – The labels

Returns:

vector gradient d(MSE)/dtheta

Return type:

numpy ndarray