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Working on #12 I started changing the broadcasting behavior of CalibrationModel.likelihood and CalibrationModel.loglikelihood, but it's not as simple and deserves it's very own issue & PR.
What needs to be done:
Come up with a comprehensive list of shape_indep, shape_obs, model_ndim, scan_x combinations and precisely define the shape_expected.
Keep in mind that shape_indep may be higher-dimensional, for example when broadcasting with a 5-dimensional tensor..
Critically analyze: Do we even need scan_x if the broadcasting behavior is clearly defined?
Make the necessary changes to CalibrationModel.loglikelihood and CalibrationModel.likelihood
The text was updated successfully, but these errors were encountered:
Working on #12 I started changing the broadcasting behavior of
CalibrationModel.likelihood
andCalibrationModel.loglikelihood
, but it's not as simple and deserves it's very own issue & PR.What needs to be done:
shape_indep, shape_obs, model_ndim, scan_x
combinations and precisely define theshape_expected
.shape_indep
may be higher-dimensional, for example when broadcasting with a 5-dimensional tensor..scan_x
if the broadcasting behavior is clearly defined?CalibrationModel.loglikelihood
andCalibrationModel.likelihood
The text was updated successfully, but these errors were encountered: