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Questions - causalml

Presenting effect modification in causal graphs

I am quite new to causal inference and want to try some methods for treatment effect estimation. For this purpose, I created a the following data generation process in Python: import numpy as np n = ...
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terra_cau

directed-acyclic-graphs

causality

causalml

Votes: 0

Answers: 2

Latest Answer

The sad truth is that, in general, DAGs can only tell you what variables affect the other variables, but they can't tell you how they do that - they don't describe the functional form. There are sever...
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ehudk

Is there a way a save plot generated by causalimpact in python?

Below is the sample code import pandas as pd from causalimpact import CausalImpact data = pd.read_csv('https://raw.githubusercontent.com/WillianFuks/tfcausalimpact/master/tests/fixtures/arma_data.csv'...
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user8619451

python

machine-learning

causalml

Votes: 0

Answers: 1

Latest Answer

A very dirty (but working) solution would be to: Get the code of ci.plot() using inspect import inspect print(inspect.getsource(ci.plot)) Create a new function based on ci.plot() which actually sa...
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Антон Бугаев

'ValueError: numpy.ndarray size changed, may indicate binary incompatibility' - but 2nd attempt succeeds

I am getting the following error when I deserialize a causalml (0.10.0) model in linux (x86-64), that has been serialized on os-x (darwin): ValueError: numpy.ndarray size changed, may indicate binary ...
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gerben

python

numpy

cython

pickle

causalml

Votes: 0

Answers: 0

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