tfcausalimpact

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Computation on GPU is much slower than on CPU

4

Hi, our dataset has 1300 rows and 5 columns. On GPU causal impact takes around 17 minutes while on CPU in takes only 2-3 minutes using this code: ``` casual_impact...

mc-karsa-tech

ci.plot() doesn't work

3

both: 1) print(ci.summary()) 2)print(ci.summary(output='report')) is working but both: 1) ci.plot() 2) ci.plot(panels=['pointwise','cumulative'], figsize=(12, 8)); does not  

navinkumar88

Change number of iteration of MCM when fitting the model

1

Hi Will, first of all, thank you and congrats for the gret work of translating this package in Python. In my company I am currently working on implementing a Causal...

alessandropicca

Question: How can I extract the betas like in the R MarketMatching package ?

1

Hi Will, Thanks for converting causal impact to python! In my company, we are currently trying to convert a causal impact analysis in R (it used the MarketMatching package) to...

sarisboo

unstable predictions

10

This is a great work. Thank you for putting this together. I have noticed that when I include several covariates in the model, the results become very unstable. On the...

shnaqawi

Documentation

1

It would be really great if there was some good documentation on what are the possible arguments of the function(s) and how to use them. For instance from the source...

ghost

ImportError: cannot import name 'CausalImpact' from 'causalimpact' (unknown location)

1


Mraghuvaran

NotImplementedError: Cannot convert a symbolic Tensor to a numpy array.

1

When I run the model, ci = CausalImpact(protests['count'], pre_period, post_period). This error happened `--------------------------------------------------------------------------- NotImplementedError Traceback (most recent call last) in 2 post_period = [73, len(protests)-1] 3 ----> 4 ci...

YukunYangNPF

ModuleNotFoundError: No module named 'tensorflow_core.estimator'

3

WINDOW 10.0 python 3.7 Anaconda Tensorflow verison: 2.4.1

amit-dingare

Performance comparison to R package

3

First of all: Thanks a lot for porting this package to Python. It's greatly appreciated. I'm using the R version quite a lot, often on larger data sets. Mostly, I...

mc51