causal_impact
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tcassou
Python package for causal inference using Bayesian structural time-series models.
Hi There, Bayesian time series models typically return a 2d array of the forecast for every draw and every timestamp that is predicted. In the original documentation in the "7....
Hi, i used this libruary for analyse and compare results with original libruary with R language. i found that confidence intervals (especially in cummulative sum) strong differ compared with original...
Error with simple dataset: ValueError Traceback (most recent call last) in 1 from causal_impact import CausalImpact 2 ci = CausalImpact(test, 120, n_seasons=7) ----> 3 ci.run(max_iter=1000) 4 ci.plot() ~/anaconda3/envs/python3/lib/python3.6/site-packages/causal_impact/causal_impact.py in run(self,...
Hi, sorry for dropping this under the issue section. I was wondering, if there is anything in the pipeline to extend this library with the Market Matching package the R...
Hello Thomas, Is there a way to get the summary data (as with the R package)? Thank you!
