how to use the function of estimate_effect of CausalModel class？
cyrilmyself opened this issue · comments
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I tried the example of dowhy_causal_discovery_example， when i use estimate_effect function to estimate the effect as below：
what is the meaning of control_value and treatment_value，in the above picture，does it mean if we lift the mpg from 0 to 1， how much will the weight lift？
but in the data of auto-mpg，it does not have the sample whose mpg equals 0 or 1. So how does the function of estimate_effect work？
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- DoWhy version [e.g. 0.7]
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Is there someone who can help me？
if we lift the mpg from 0 to 1， how much will the weight lift？
@cyrilmyself your understanding is correct. Such a value may not be present in the dataset but it is still a valid causal question to ask. For this dataset though, it may make more sense to ask about change in mpg values closer to the dataset distribution.
@amit-sharma thank you very much，it helps me a lot
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