Error in finding interp_data.geo_data_res about abc-geomodeling

[alex-schaaf]

Hey @Ali1990dashti !

I didn't expect anyone ever to look at my exploratory notebooks for coupling gempy with approximate bayesian computation methods 😄 Thus I sadly did not upload a requirements or environment file with the proper module verions used 😞

So the notebook has not been updated sice Latest commit a528d50 on Jun 21, 2018 - so the error is due to differences in gempy versions. If I recall correctly this notebook / repository was still written with GemPy 1.x. So you could try installing a version of GemPy released around June 2018 - maybe Gempy 1.14 https://github.com/cgre-aachen/gempy/releases/tag/v1.14

But note that GemPy 1 and 2 are quite different. It might be easier to look at the official GemPy probabilistic modeling tutorial https://docs.gempy.org/tutorials/ch5_probabilistic_modeling/ch5_1.html for Monte Carlo error propagation and add your own ABC-REJ logic to it 😄

[Ali1990dashti]

Dear @alex-schaaf

Firstly, thanks for providing such a detailed answer to me. I truly apprciate it. I also visited both the gempy.org and also the informative github page of the gempy.
Can I ask what interp_data.geo_data_res is?
Is it a part of the theano interpolator? When I aks about its type, python says it's a gempy.core.interpolator.InterpolatorModel.
Again, thanks for giving time to me.

Cheers,
Ali

[alex-schaaf]

The input data for GemPy models is being rescaled between 0 and 1 for the computation in theano, and this old notebook uses the dataframe with the rescaled input data to modify this data directly for the stochastic simulation.

[Ali1990dashti]

Sorry for making that much questions and taking your time ...
I know that input data are rescaled in Gempy using rescaling factor and centers. But the confusing point for me is that in the notebook, the rescaled data are called from the interp_data which has been the result of theano compilation (cell number 71). Does it mean that all the input data are stored as interp data in theano?
Again sorry for making that much questions ...