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Markus Buhatem Koch 46dac64ec7
Test multiple seed for random number generators 
Like we talked on 09/26, DiffyQ-SimCAD must allow the user to seed each one of their environmental processes independently. If we use numpy.random.<randomizerFunction> directly, this means we need to run every environmental process for all steps and all montecarlo before running the next environmental process. However, using the design in this PoC, we can have one RandomState object per exogenous state and have each one of them be independently seeded.
 		2018-09-27 17:09:59 -03:00
.gitignore ignore .ds_store 2018-09-11 09:44:50 -03:00
CAD_Engine.ipynb refactored 2 2018-09-25 18:01:16 -04:00
Pipfile install common packages 2018-09-17 13:38:22 -03:00
Pipfile.lock install common packages 2018-09-17 13:38:22 -03:00
README.md Repo cloning instructions 2018-09-11 16:55:40 -03:00
Random, multiseed.ipynb Test multiple seed for random number generators 2018-09-27 17:09:59 -03:00
Sim_CAD_Engine.ipynb comments 2018-09-19 23:35:37 -03:00
TestNotebook.ipynb initial commit 2018-09-10 17:34:44 -03:00

README.md

DiffyQ-SimCAD

If you don't already have it installed, install pipenv

Clone this repo, then

cd DiffyQ-SimCAD
pipenv run python -m ipykernel install --user --name DiffyQ-SimCAD --display-name "DiffyQ-SimCAD Env"
pipenv run jupyter notebook

When you open TestNotebook.ipynb, you should see it running on the DiffyQ-SimCAD Env Kernel