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Issue: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
Causal Model:
Setup:
Identification
Estimand type: EstimandType.NONPARAMETRIC_ATE
Estimand : 1
Estimand name: backdoor
Estimand expression:
d
───────────────(E[total_revenue|spend_TV,spend_Facebook])
d[spend_Search]
Estimand assumption 1, Unconfoundedness: If U→{spend_Search} and U→total_revenue then P(total_revenue|spend_Search,spend_TV,spend_Facebook,U) = P(total_revenue|spend_Search,spend_TV,spend_Facebook)
Estimand : 2
Estimand name: iv
No such variable(s) found!
Estimand : 3
Estimand name: frontdoor
No such variable(s) found!
OUTPUT
The results radically change every time the code is executed.
Version information:
DoWhy version 0.12
Thanks for your help!
The text was updated successfully, but these errors were encountered:
Hi everyone,
Ask your question
Issue: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
Causal Model:
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Setup:
Identification
Estimand type: EstimandType.NONPARAMETRIC_ATE
Estimand : 1
Estimand name: backdoor
Estimand expression:
d
───────────────(E[total_revenue|spend_TV,spend_Facebook])
d[spend_Search]
Estimand assumption 1, Unconfoundedness: If U→{spend_Search} and U→total_revenue then P(total_revenue|spend_Search,spend_TV,spend_Facebook,U) = P(total_revenue|spend_Search,spend_TV,spend_Facebook)
Estimand : 2
Estimand name: iv
No such variable(s) found!
Estimand : 3
Estimand name: frontdoor
No such variable(s) found!
OUTPUT
The results radically change every time the code is executed.
Version information:
Thanks for your help!
The text was updated successfully, but these errors were encountered: