Related Issues (20)
- Potential dependency conflicts between fklearn and pandas HOT 2
- Potential dependency conflicts between fklearn and numpy HOT 3
- space_time_split_dataset slowness
- Nested pipelines HOT 2
- One-hot encoder's drop_first_column parameter does nothing
- split_evaluator_extractor not fully compliant with split_evaluator HOT 2
- Problems to pickle pipelines in the 1.21.0
- Dependency management HOT 5
- .
- Double/Debiased Resusing Models when Curried
- Migration plan for python 3.8, 3.9 or some "newer tooling" HOT 5
- Code style preferences
- “python_requires” should be set with “>=3.5”, as fklearn 2.0.0 is not compatible with all Python versions. HOT 3
- Categorical Features in lgbm_classification_learner not working HOT 1
- Improve fklearn build process for local testing/development HOT 1
- Pipelines can't be nested as any other learner HOT 1
- Include kwargs in the evaluator's wrappers
- Add an option to order by ascending/descending prediction in cumulative effect curves
- `lgbm_classification_learner` failing when using multiclass one-vs-all objective
- Repetitive words in documentation
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