Transform y
into 2D tensor when y.ndim == 1
and likelihood == REGRESSION
#240
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Fixes #235
Rationale on why we don't want to throw an error:
model(x).squeeze()
withy.shape == model(x).shape[0:-1]
model(x)
withy.shape == model(x).shape
y.shape
's. It's too much to ask to requirey.shape == model(x).shape
since PyTorch doesn't.