From ff99e912f7502fb26e5b7e4d1db78a650a3090de Mon Sep 17 00:00:00 2001 From: Tom Andersson Date: Sat, 13 Jul 2024 19:19:32 +0100 Subject: [PATCH] Run black --- deepsensor/model/convnp.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/deepsensor/model/convnp.py b/deepsensor/model/convnp.py index 77a4ec37..57c7b789 100644 --- a/deepsensor/model/convnp.py +++ b/deepsensor/model/convnp.py @@ -43,7 +43,7 @@ class ConvNP(DeepSensorModel): Init kwargs passed to the `ConvNP` are passed to the `neuralprocesses.construct_convgnp` function and can be used to specify hyperparameters (see parameter list below). In particular, the `likelihood` parameter can be used to specify the likelihood of the model, which dictates - whether the model outputs marginal distributions at each target point (a ConvCNP) or a + whether the model outputs marginal distributions at each target point (a ConvCNP) or a joint Gaussian distribution over all target points (a ConvGNP). By default a ConvCNP with Gaussian likelihoods is constructed.