Comments (6)
amit-sharma
commented on July 23, 2024
1
That's a great idea @drawlinson . Yeah, it is better to remove use of get_dummies. Look forward to your PR
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drawlinson
commented on July 23, 2024
PR here #1112
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drawlinson
commented on July 23, 2024
I think this is resolve with merge of PR 1112 . However, its also an option to remove use of get_dummies entirely if this is considered desirable, using the same util function to replace each occurrence. I can make another PR to complete that process. Keen for thoughts on that... there would be some simplification by pushing encoders down to the base CausalEstimator and things would be more consistent between estimators.
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drawlinson
commented on July 23, 2024
I'll get onto that ASAP!
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drawlinson
commented on July 23, 2024
@amit-sharma PR now available to complete the job... #1135
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drawlinson
commented on July 23, 2024
Resolved with PR #1135
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Related Issues (20)
- Python 3.12 support HOT 9
- Clarify the differences among refute methods HOT 11
- Feature relevance/Influence HOT 26
- Graphviz installation : --include-path not recognized anymore HOT 4
- Does this package support non-English languages? HOT 3
- Question about Dummy Outcome Refuter HOT 2
- Inconsistency in the placebo_treatment_refuter when using estimate_effect of IV HOT 1
- numpy.dual is dropped but it still occurs in dowhy HOT 2
- NetworkXError: graph should be directed acyclic HOT 4
- Refutation & Overlap Error ("data_subset_refuter", "add_unobserved_common_cause", assess_support_and_overlap_overrule) HOT 2
- No Backdoor Path Available
- Clarification on how to use gcm properly for confounders adjustment HOT 5
- Can you provide code demo for each function? HOT 2
- How is propensity score matching implemented? HOT 2
- Interpreting mean while using logistic regression to estimate causal effect. HOT 1
- model.estimate_effect and model.refute_astimate throws 'A column-vector y was passed ...' error
- RuntimeWarning: divide by zero encountered in divide when using evaluate_causal_model HOT 3
- Auto assign_causal_mechanisms is taking so much time in gcm HOT 11
- falsify_graph HOT 8
- Remove use of CausalModel from test files and notebooks
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