Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / ThomasBury/arfs issues and pull requests
#54 - GrootCV, arfs 2.3.3, warning about LGBMDeprecationWarning
Issue -
State: open - Opened by juanramonua 19 days ago
- 1 comment
#53 - Typos/docstrings corrections
Pull Request -
State: closed - Opened by ncooder 21 days ago
#52 - Corrected docstrings and parameter names
Pull Request -
State: closed - Opened by ncooder about 1 month ago
#51 - BUG: local variable 'imp_sha_max' referenced before assignment
Issue -
State: closed - Opened by msat59 about 1 month ago
- 3 comments
#50 - Shap importance fails on XGBoost models
Issue -
State: closed - Opened by msat59 3 months ago
- 2 comments
#49 - ValueError: shape mismatch in Leshy._add_shadows_get_imps during feature importance computation
Issue -
State: closed - Opened by guo120 5 months ago
- 1 comment
Labels: bug
#48 - numpy.random.mtrand.RandomState.shuffle ValueError: array is read-only
Issue -
State: closed - Opened by jmrichardson 7 months ago
- 4 comments
Labels: bug
#47 - Feature Selection Accuracy Comparison
Issue -
State: open - Opened by ericborgos 10 months ago
- 1 comment
Labels: documentation
#46 - Relax dependency on lightgbm
Pull Request -
State: closed - Opened by jlopezpena 11 months ago
- 4 comments
Labels: enhancement
#45 - Avoid redundant calls to `.abs` in association matrix
Pull Request -
State: closed - Opened by jlopezpena 12 months ago
- 1 comment
Labels: enhancement
#44 - Max on the wrong axis in _reduce_vars_sklearn
Issue -
State: closed - Opened by AndreaVidali 12 months ago
- 3 comments
Labels: bug
#43 - Duplicated feature importance columns in reduce_vars_sklearn
Issue -
State: closed - Opened by AndreaVidali 12 months ago
- 2 comments
Labels: bug
#42 - CollinearityThreshold has the wrong default
Issue -
State: closed - Opened by harper357 about 1 year ago
#41 - CollinearityThreshold bug fix and speedup
Pull Request -
State: closed - Opened by harper357 about 1 year ago
Labels: bug
#40 - Possible bugs in `CollinearityThreshold`
Issue -
State: closed - Opened by harper357 about 1 year ago
- 9 comments
Labels: bug
#39 - Bug: MinRedundancyMaxRelevance Function Modifies Input DataFrame by Adding target Column
Issue -
State: closed - Opened by Pacman1984 about 1 year ago
- 2 comments
#38 - refactoring associations
Pull Request -
State: closed - Opened by ThomasBury about 1 year ago
Labels: enhancement
#37 - Refactor collinear feature elimination algorithm
Pull Request -
State: closed - Opened by Pacman1984 about 1 year ago
- 1 comment
Labels: bug
#36 - Issue with Overly Aggressive Feature Removal in CollinearityThreshold Class
Issue -
State: closed - Opened by Pacman1984 about 1 year ago
#35 - Issue with Custom Callable Implementation in CollinearityThreshold Class
Issue -
State: closed - Opened by Pacman1984 about 1 year ago
- 2 comments
Labels: enhancement
#34 - Leshy fit method always overwrites to importance==shap if fasttreeshap not installed
Issue -
State: closed - Opened by Pacman1984 about 1 year ago
- 3 comments
Labels: bug
#33 - [BUG] User-Specified Threshold for CollinearityThreshold is not Applied.
Issue -
State: closed - Opened by zdanaceau over 1 year ago
- 1 comment
Labels: bug
#32 - LightGBM bump and folds var
Issue -
State: closed - Opened by CMobley7 over 1 year ago
- 3 comments
Labels: enhancement
#31 - [BUG] - add a safeguard when there is a single categorical column
Issue -
State: closed - Opened by ThomasBury over 1 year ago
Labels: bug
#30 - Cannot suppress runtime warning
Issue -
State: closed - Opened by mberlinger3 over 1 year ago
- 1 comment
Labels: question
#29 - arfs.feature_selection module not found
Issue -
State: closed - Opened by xdeltadev over 1 year ago
- 4 comments
#28 - Ability to pass in a model to GrootCV
Issue -
State: closed - Opened by almostintuitive over 1 year ago
- 7 comments
Labels: question
#27 - Consider using FastTreeSHAP?
Issue -
State: closed - Opened by almostintuitive over 1 year ago
- 5 comments
#26 - Numba
Issue -
State: closed - Opened by blueoceancruiser over 1 year ago
- 1 comment
Labels: question
#25 - GrootCV is missing class_weight param for muticlass classification
Issue -
State: closed - Opened by blueoceancruiser over 1 year ago
- 1 comment
#24 - feature(CV): Added time series based cross-validation option.
Pull Request -
State: closed - Opened by szemyd over 1 year ago
#23 - potential to specify time series splitter
Issue -
State: closed - Opened by almostintuitive over 1 year ago
- 7 comments
Labels: question
#22 - Fixed catboost and added new tqdm
Pull Request -
State: closed - Opened by Tialo almost 2 years ago
Labels: bug
#21 - Refactor binning method for better readability and maintainability
Pull Request -
State: closed - Opened by ThomasBury almost 2 years ago
#20 - Fixed handling of categorical features.
Pull Request -
State: closed - Opened by Tialo almost 2 years ago
Labels: bug
#19 - Leshy works wrong with categorical features
Issue -
State: closed - Opened by Tialo almost 2 years ago
- 2 comments
#18 - BoostAGroota works wrong with set_config(transform_output="pandas")
Issue -
State: closed - Opened by Tialo almost 2 years ago
- 1 comment
#17 - How to get MRMR into a cross-validation pipeline?
Issue -
State: closed - Opened by notuntoward almost 2 years ago
- 4 comments
Labels: question
#16 - docs: fix title depth
Pull Request -
State: closed - Opened by ThomasBury about 2 years ago
Labels: documentation
#15 - Tb refactor
Pull Request -
State: closed - Opened by ThomasBury about 2 years ago
Labels: enhancement
#14 - GrootCV: Extracting average SHAP over all iterations *per sample* in addition to per feature
Issue -
State: closed - Opened by bobby-slavchev over 2 years ago
- 1 comment
Labels: question
#13 - LightGBMError: Number of classes should be specified and greater than 1 for multiclass training
Issue -
State: closed - Opened by cryptocoinserver over 2 years ago
- 1 comment
Labels: bug
#12 - Updated pandas and numpy requirements
Pull Request -
State: closed - Opened by rrieunier over 2 years ago
#11 - Update dependency
Issue -
State: closed - Opened by partiallycomplex almost 3 years ago
- 1 comment
Labels: enhancement
#10 - [Doc] max_tree_depth LGBM
Issue -
State: closed - Opened by partiallycomplex about 3 years ago
- 5 comments
#9 - provide stratification in the cross-validation processes
Issue -
State: closed - Opened by ThomasBury about 3 years ago
- 1 comment
Labels: enhancement
#8 - Update the lightGBM callback in the ARFS package
Issue -
State: closed - Opened by ThomasBury about 3 years ago
- 1 comment
Labels: enhancement
#7 - fix bug in shap feature importance when task is classification and estimator is lightGBM
Issue -
State: closed - Opened by ThomasBury about 3 years ago
Labels: bug
#6 - make the charts consistent across the different classes
Issue -
State: closed - Opened by ThomasBury about 3 years ago
Labels: enhancement
#5 - Citing the library?
Issue -
State: closed - Opened by NicklasXYZ over 3 years ago
- 2 comments
Labels: documentation
#4 - is the package available?
Issue -
State: closed - Opened by skykiseki over 3 years ago
- 1 comment
Labels: question
#3 - Downsampling
Issue -
State: closed - Opened by brunofacca about 4 years ago
- 6 comments
Labels: enhancement
#2 - [Enhancement] add random forest booster for lightGBM and optimal feature fraction
Issue -
State: closed - Opened by ThomasBury about 4 years ago
Labels: enhancement
#1 - ImportError: cannot import name '_check_savefig_extra_args' from 'matplotlib.backend_bases'
Issue -
State: closed - Opened by Weidong725 about 4 years ago
- 2 comments
Labels: question