diff --git a/nifty6/minimization/metric_gaussian_kl.py b/nifty6/minimization/metric_gaussian_kl.py index 2725c31963a762da01f8b659df2c03f80d0fc99d..0b9a02fc417793a1176c544eef83d8427ad6db6e 100644 --- a/nifty6/minimization/metric_gaussian_kl.py +++ b/nifty6/minimization/metric_gaussian_kl.py @@ -115,11 +115,16 @@ class MetricGaussianKL(Energy): If MPI is enabled, samples will be distributed as evenly as possible across MPI.COMM_WORLD. If `mirror_samples` is set, then a sample and its mirror image will always reside on the same task. + lh_sampling_dtype : type + Determines which dtype in data space shall be used for drawing samples + from the metric. If the inference is based on complex data, + lh_sampling_dtype shall be set to complex accordingly. The reason for + the presence of this parameter is that metric of the likelihood energy + is just an `Operator` which does not know anything about the dtype of + the fields on which it acts. Default is float64. _samples : None Only a parameter for internal uses. Typically not to be set by users. -FIXME: lh_sampling_dtype not documented! - Note ---- The two lists `constants` and `point_estimates` are independent from each