Missing band-passes about sbi_pp

[wangbingjie]

Hi @JohannesBuchner ,

Sorry for a late response. The confusion is probably caused by my confusing variable names:

x_tensor contains physical parameters, whereas y_tensor contains fluxes & uncertainties. Hence hatp_x_y._x_shape takes on the shape of y_tensor. This is because, as you pointed out, we would insert data values when calling hatp_x_y.sample.

• re: your error message. Could I ask how you trained your model? If the model is trained as

anpe.append_simulations([[physical parameters], [fluxes & uncertainties]])

then it would expect an input of a shape of [fluxes & uncertainties] when drawing posterior samples.

• re: alternative approach for missing values. We didn't pursue this line of thinking mainly because the number as well as the locations of missing bands in many cases would be random. I agree that this may be a faster solution if these are known a-priori; however I have not tested this.

Please let me know if you have further questions!