log_gradients

abstractmethod ContinuousDistribution.log_gradients(X)

Calculates the gradients of the log-PDF with respect to its parameters.

The gradients are computed for the parameters that are not fixed.

Parameters:

X (ArrayLike) – The input data points at which to calculate the gradients.

Returns:

An array where each row corresponds to a data point in X and each column corresponds to the gradient with respect to a specific optimizable parameter. The order of columns corresponds to the sorted order of params_to_optimize.

Return type:

NDArray[np.float64]