Comments (1)
Hi, I added a change in pull request #57 to address this issue. The best way to operate is to have your specific ids as the index of the dataframe you pass to the Matcher
object, these will be saved in a column named og_idx
that can be accessed in the matched data output.
from pymatch.
Related Issues (20)
- KeyError: 'weight' in method assign_weight_vector HOT 1
- compare_continuous doesn't work, and compare_categorical get all predictors HOT 4
- Can I create age-matched control groups with this package?
- Error in Example.ipynb "ValueError: negative dimensions are not allowed" HOT 3
- drop_static_cols actually drops a column and breaks fit_scores()
- Exclusion Features - Shouldn't they be allowed to be NULL?
- Next steps after matching
- m.predict_scores() - list index out of range error HOT 1
- errors for continuous_results
- m.fit_scores HOT 1
- Fitting Models on Balanced Samples: 1\100Error: Unable to coerce to Series, length must be 1: given 158
- Matcher can not use spark data frame
- Example Loan data for replication
- How to keep track of dropped data when matching?
- Dived a data set based on PS
- Meaning of `nmodels` unclear
- Can pymatch be used for a dataset in long format?
- Is pymatch dead? HOT 2
- Citation guide? HOT 1
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from pymatch.