AnotherSamWilson/miceforest issues and pull requests

#89 - Import miceforest error

Issue - State: closed - Opened by kestlermai 26 days ago - 6 comments

#88 - Major update 6

Pull Request - State: closed - Opened by AnotherSamWilson 2 months ago

#87 - pypi version update

Issue - State: closed - Opened by matteobolner 5 months ago - 3 comments

#86 - Updated dependency blosc to blosc2

Pull Request - State: closed - Opened by franzhuettinger 5 months ago - 12 comments

#85 - Saving a Kernel leads to an error

Issue - State: closed - Opened by benedictjones 10 months ago - 3 comments

#84 - Save large kernel

Issue - State: closed - Opened by ZSZYoung 11 months ago - 1 comment

#83 - impute_new_data don`t work

Issue - State: closed - Opened by mayii2001 11 months ago - 3 comments

#82 - Imputation on new data fails for categorical columns if not all categories are present

Issue - State: closed - Opened by jfleh 11 months ago - 6 comments

#81 - Differences in imputation results

Issue - State: closed - Opened by JossTG-UPM 12 months ago - 3 comments

#80 - 568 mean_match_candidates > data_subset

Issue - State: closed - Opened by sonj21 about 1 year ago - 2 comments

#79 - GPU support

Issue - State: closed - Opened by ZSZYoung about 1 year ago - 3 comments

#78 - GPU does not improve performance

Issue - State: closed - Opened by xydisla about 1 year ago - 1 comment

#77 - Optional support by XGBoost for easier GPU integration

Issue - State: closed - Opened by DavidHarar over 1 year ago - 2 comments

#76 - plot_mean_convergence subplots are numbered, not named

Issue - State: closed - Opened by gorj-tessella over 1 year ago - 2 comments

#75 - Performance

Issue - State: closed - Opened by sandrejev over 1 year ago - 2 comments

#74 - TypeError: init() got an unexpected keyword argument 'balanced_tree'

Issue - State: closed - Opened by LMS233 over 1 year ago - 4 comments

#73 - How to deal with 'AssertionError:10 mean matching returned malformed array'?

Issue - State: closed - Opened by sshah99 over 1 year ago - 1 comment

#72 - Plot Correlation - NoneType object is not iterable.

Issue - State: closed - Opened by Nirvana2211 over 1 year ago - 7 comments

#71 - Predictions from machine learning models may not properly account for uncertainty

Issue - State: open - Opened by tammandres over 1 year ago - 2 comments

#70 - Boston housing dataset was depreciated

Issue - State: closed - Opened by AnotherSamWilson almost 2 years ago - 1 comment

#69 - Column types are not the same as the original data. Check categorical columns.

Issue - State: closed - Opened by Ededu1984 almost 2 years ago - 11 comments

#68 - How to cite your work?

Issue - State: closed - Opened by awmmmm almost 2 years ago - 2 comments

#67 - Implement group constraints

Issue - State: closed - Opened by AnotherSamWilson almost 2 years ago - 1 comment
Labels: enhancement

#66 - isinstance() can be replaced with overloading in many instances

Issue - State: closed - Opened by AnotherSamWilson almost 2 years ago - 1 comment
Labels: enhancement

#65 - How to customize initial imputations

Issue - State: closed - Opened by MrWeijing almost 2 years ago - 3 comments

#64 - Index error for multi class in mean match function

Issue - State: closed - Opened by Ynliu1017 almost 2 years ago - 8 comments

#63 - Add optional dependency summary to README install section

Issue - State: closed - Opened by AnotherSamWilson almost 2 years ago - 1 comment
Labels: enhancement

#62 - Trigger an error when no missing data

Issue - State: closed - Opened by getchepare2 about 2 years ago - 2 comments

#61 - AssertionError mean_match_candidate > data_subset

Issue - State: closed - Opened by firmai about 2 years ago - 4 comments

#60 - Pandas dtypes modified when predicting on single records

Issue - State: closed - Opened by getchepare2 about 2 years ago - 12 comments

#59 - Fail if data was passed out of order.

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago - 1 comment

#58 - Complex imputation schema

Issue - State: closed - Opened by neuro30 about 2 years ago - 1 comment

#57 - Compile predictions optimaly before impute_new_data is called

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago - 1 comment
Labels: enhancement

#56 - Clean up code in mice procedure

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago - 1 comment

#55 - Could you add skip columns?

Issue - State: closed - Opened by keonho-kim about 2 years ago - 3 comments

#54 - Potentially incorrect imputations depending on feature order in variable schema

Issue - State: closed - Opened by tammandres about 2 years ago - 5 comments

#53 - impute_new_data throws a warning about rare categories.

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago

#52 - Mean match scheme

Pull Request - State: closed - Opened by AnotherSamWilson about 2 years ago

#51 - Imputed values differ after a kernel is loaded

Issue - State: closed - Opened by KaikeWesleyReis about 2 years ago - 7 comments

#50 - Make assertion that kernel working_data is the same as data provided in fit()

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago - 1 comment

#49 - Using mean_match_candidates different from zero with categorical variables generates an error

Issue - State: closed - Opened by KaikeWesleyReis about 2 years ago - 26 comments

#48 - New Data Imputation issue arise when using train_nonmissing as True

Issue - State: closed - Opened by KaikeWesleyReis about 2 years ago - 3 comments

#47 - Add a fit / transform method so kernel can fit into sklearn pipeline

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago
Labels: enhancement

#46 - Allow compilation of candidate predictions

Issue - State: closed - Opened by samFarrellDay about 2 years ago - 1 comment
Labels: enhancement

#45 - Reuse training set kernel for testing set

Issue - State: closed - Opened by mirix about 2 years ago - 1 comment

#44 - Use stratification when subsetting candidates for modeling

Issue - State: closed - Opened by AnotherSamWilson about 2 years ago - 1 comment
Labels: enhancement

#43 - See if using lgb.Dataset.subset method improves memory usage when data_subset < 1.0

Issue - State: closed - Opened by AnotherSamWilson over 2 years ago - 1 comment
Labels: enhancement

#42 - See if tree compilation will speed up impute_new_data

Issue - State: open - Opened by AnotherSamWilson over 2 years ago - 1 comment
Labels: enhancement

#41 - Seeing low cpu on impute_new_data for normal sized datasets

Issue - State: closed - Opened by samFarrellDay over 2 years ago - 1 comment

#40 - lightgbm parameter aliases can be obtained through lightgbm.basic._ConfigAliases

Issue - State: closed - Opened by samFarrellDay over 2 years ago
Labels: enhancement

#39 - Bug in correlations when initialization is empty.

Issue - State: closed - Opened by samFarrellDay over 2 years ago

#38 - Clean up randomness management

Issue - State: open - Opened by samFarrellDay over 2 years ago
Labels: enhancement

#37 - AttributeError: 'SubplotSpec' object has no attribute 'rowspan'

Issue - State: closed - Opened by agt64 over 2 years ago - 2 comments

#36 - Memory usage for categorical data with large numbers of unique values

Issue - State: closed - Opened by agt64 almost 3 years ago - 1 comment

#35 - Workaround to " init() got an unexpected keyword argument 'balanced_tree' "

Issue - State: closed - Opened by agt64 almost 3 years ago - 10 comments

#34 - IndexError using impute_new_data

Issue - State: closed - Opened by mjoy296 almost 3 years ago - 7 comments

#33 - Fix the documentation

Issue - State: closed - Opened by samFarrellDay almost 3 years ago
Labels: documentation

#32 - lightgbm updated verbosity and early stopping parameters

Issue - State: closed - Opened by samFarrellDay almost 3 years ago - 1 comment

#31 - Variable Importance graph

Issue - State: closed - Opened by angelas4l almost 3 years ago - 1 comment

#30 - TypeError: init() got an unexpected keyword argument 'balanced_tree'

Issue - State: closed - Opened by ghost almost 3 years ago - 1 comment

#29 - Make new imputations deterministic at the record level

Issue - State: closed - Opened by samFarrellDay almost 3 years ago - 1 comment
Labels: enhancement

#28 - i cannot run kds.mice(2)

Issue - State: closed - Opened by ccd545235100 almost 3 years ago - 3 comments

#27 - Make ImputationKernel.dataset_count() point to .iterations

Issue - State: closed - Opened by samFarrellDay almost 3 years ago

#26 - Add a save_kernel method

Issue - State: closed - Opened by samFarrellDay almost 3 years ago - 4 comments
Labels: enhancement

#25 - Allow generation of imputation values on command

Issue - State: closed - Opened by samFarrellDay almost 3 years ago - 1 comment
Labels: enhancement

#24 - Support more dataset formats

Issue - State: open - Opened by samFarrellDay almost 3 years ago
Labels: enhancement

#23 - Allow the training of models even if there are no missing values

Issue - State: closed - Opened by AnotherSamWilson almost 3 years ago

#22 - Data is being copied for each KernelDataSet in MultipleImputedKernel

Issue - State: closed - Opened by AnotherSamWilson almost 3 years ago - 1 comment

#21 - Process finished with exit code -1073741571 (0xC00000FD)

Issue - State: closed - Opened by samFarrellDay almost 3 years ago - 4 comments
Labels: bug