Issues
- 0
- 1
Clean up randomness management
#38 opened by samFarrellDay - 6
Import miceforest error
#89 opened by kestlermai - 2
- 1
- 12
- 1
Implement group constraints
#67 opened by AnotherSamWilson - 7
- 1
Clean up code in mice procedure
#56 opened by AnotherSamWilson - 1
- 1
Boston housing dataset was depreciated
#70 opened by AnotherSamWilson - 7
- 2
Performance
#75 opened by sandrejev - 3
impute_new_data don`t work
#83 opened by mayii2001 - 1
Save large kernel
#84 opened by ZSZYoung - 3
pypi version update
#87 opened by matteobolner - 6
Imputation on new data fails for categorical columns if not all categories are present
#82 opened by jfleh - 3
Saving a Kernel leads to an error
#85 opened by benedictjones - 2
- 3
GPU support
#79 opened by ZSZYoung - 3
Differences in imputation results
#81 opened by JossTG-UPM - 2
568 mean_match_candidates > data_subset
#80 opened by sonj21 - 4
AssertionError mean_match_candidate > data_subset
#61 opened by firmai - 1
GPU does not improve performance
#78 opened by xydisla - 2
How to cite your work?
#68 opened by awmmmm - 2
Predictions from machine learning models may not properly account for uncertainty
#71 opened by tammandres - 1
- 4
- 11
Column types are not the same as the original data. Check categorical columns.
#69 opened by Ededu1984 - 8
- 1
- 3
How to customize initial imputations
#65 opened by MrWeijing - 1
Fail if data was passed out of order.
#59 opened by AnotherSamWilson - 2
Trigger an error when no missing data
#62 opened by getchepare2 - 1
Complex imputation schema
#58 opened by neuro30 - 3
Could you add skip columns?
#55 opened by keonho-kim - 5
Potentially incorrect imputations depending on feature order in variable schema
#54 opened by tammandres - 0
- 26
Using mean_match_candidates different from zero with categorical variables generates an error
#49 opened by KaikeWesleyReis - 3
- 1
Make assertion that kernel working_data is the same as data provided in fit()
#50 opened by AnotherSamWilson - 0
- 1
- 1
Allow compilation of candidate predictions
#46 opened by samFarrellDay - 1
- 1
Reuse training set kernel for testing set
#45 opened by mirix - 1
See if using lgb.Dataset.subset method improves memory usage when data_subset < 1.0
#43 opened by AnotherSamWilson - 0
lightgbm parameter aliases can be obtained through lightgbm.basic._ConfigAliases
#40 opened by samFarrellDay - 1
- 0