Comments (11)
That would be excellent! I'll update the list this weekend.
from causality.
i've created a sprint in JIRA
https://causality.atlassian.net/secure/RapidBoard.jspa?rapidView=1
Pick up an issue and let's get into it!
We'll have discussions about details on the pull requests. When you pick up an issue, we can work out the details of the interface, where the code lives, and the implementation. Just start a trivial PR to kick off the conversation.
from causality.
send me your email and ill add you as a user
from causality.
Sure, use my email associated with my GitHub account.
from causality.
@akelleh is there a way I can PM you my email address?
from causality.
want me to use the gmail one on your profile page?
from causality.
yep that's fine
On Thu, Nov 10, 2016 at 2:35 PM, Adam Kelleher [email protected]
wrote:
want me to use the gmail one on your profile page?
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub
#23 (comment),
or mute the thread
https://github.com/notifications/unsubscribe-auth/AHP3B3trCICMuHNEMTnA7o1XaN2C3lPbks5q83_4gaJpZM4KnY_9
.
from causality.
invite sent!
from causality.
A graph of causal factors led me here. Can I get an invite?
from causality.
lol. Of course!
from causality.
Give me a day to grok your package (giggity), then I'll jump into one of the four issues up on the atlassian board.
from causality.
Related Issues (20)
- networkx version problem? HOT 3
- TypeError: can only concatenate list (not "dict_keys") to list HOT 1
- check statsmodels pandas.core.datetools dependency HOT 1
- Difference between analysis and estimation HOT 5
- Doesn't install for Python3 HOT 2
- Parallelize skeleton
- issues with concat of dictionaries HOT 1
- Causality installation error (cephes?) HOT 3
- issue installing on osx (no conda) HOT 2
- is there any reason you don't add (non-propensity) matching?
- categorical attributes HOT 3
- Interpretation of edges in causal graph inference HOT 1
- Symmetry in _apply_recursion_rule_2 HOT 2
- Python Package: Problems with Codeline “effect.pdf(x)” HOT 1
- Non-fully parallel jobs for causal estimation with large data sets. HOT 1
- I wonder if this package can achieve the functions shown in the picture? thanks!
- 'Graph' object has no attribute 'node' HOT 5
- Fail to import the package HOT 3
- Change `node` to `nodes` in `inference/search/__init__.py` HOT 1
- Should this line be "del matched_treated['treated_index']"? HOT 2
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from causality.