Comments (1)
This is actually an expected behavior. What happening here is that some classes have a default pre-processing pipeline. For the Rebalance class, for example, when using SMOTE (which doesn't work with categorical variables or missing values), the transform_pipe
parameter must contain an encoder and an imputer. Otherwise, a default BasicImputer
and EncoderOHE
objects are created and inserted in the transform_pipe
internal variable. When calling the rebalance method, the BasicImputer
and EncoderOHE
will run before running SMOTE. This message is printed by the BasicImputer created. You can suppress this message by setting verbose = False
when instantiating the Rebalance
class
from responsible-ai-toolbox-mitigations.
Related Issues (20)
- Code coverage in codecov website
- Update/fix/reorganize the documentation files for the databalanceanalysis package
- Configure pre-commit HOT 1
- No installation instructions HOT 3
- Spelling/grammar/formatting issues HOT 19
- Missing docstrings HOT 6
- Missing example dataset HOT 4
- Correlated Features examples
- feat_sel_sequential.ipynb example throwing key error in section 2 (no column names) HOT 1
- ValueError: case1_stat.ipynb error in CTGAN Section
- Seed cannot be set HOT 1
- seaborn package required for case2_stat but not in requirements.txt HOT 1
- Case3.ipynb: Invalid column name `sick-euthyroid`
- Case3_stat.ipynb: ValueError. mismatched shapes
- Missing Dependencies HOT 2
- TODO: fill out support.md
- Update the version for the SDV library
- No module named 'seaborn' when importing the "cohort" module HOT 1
- No documentation for the raimitigations.utils.get_metrics() function HOT 1
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