Ecosyste.ms: Issues
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GitHub / parrt/random-forest-importances issues and pull requests
#59 - Support custom metric for oob_dropcol_importances
Pull Request -
State: closed - Opened by ValterH 4 months ago
Labels: enhancement
#58 - Support for alternative metrics for `oob_dropcol_importances`
Issue -
State: closed - Opened by ValterH 4 months ago
#57 - No module named 'sklearn.ensemble.forest' in scikit-learn 1.4.1
Issue -
State: closed - Opened by cmunozcortes 9 months ago
- 1 comment
#56 - 666Create ze
Pull Request -
State: open - Opened by lize22 about 1 year ago
#55 - What's the meaning of <0 values?
Issue -
State: open - Opened by fisherss about 2 years ago
#54 - Questions Regarding Alternative Feature Importance
Issue -
State: open - Opened by BrandonKMLee over 2 years ago
#53 - An error occurred when the test file was run
Issue -
State: open - Opened by LilWei-DU over 2 years ago
- 1 comment
#52 - score() takes from 2 to 3 positional arguments but 4 were given: dropcol_importance
Issue -
State: closed - Opened by vivekruhela about 3 years ago
- 2 comments
#51 - Varying Dependency Value
Issue -
State: open - Opened by Joprou about 3 years ago
#50 - ModuleNotFoundError: No module named 'sklearn.ensemble.forest'
Issue -
State: closed - Opened by ziadzee over 3 years ago
- 3 comments
#49 - AttributeError: 'numpy.ndarray' object has no attribute 'columns'
Issue -
State: open - Opened by VincentOld almost 4 years ago
- 1 comment
#48 - Fix version issue
Pull Request -
State: closed - Opened by parrt about 4 years ago
Labels: compatibility
#47 - Incorrect references to sklearn?
Issue -
State: closed - Opened by mgandaman about 4 years ago
- 8 comments
Labels: compatibility
#46 - 'deep' is an invalid keyword argument for this function
Issue -
State: closed - Opened by ebuka-nweke about 4 years ago
- 6 comments
Labels: can't reproduce
#45 - Support sklearn 0.24
Pull Request -
State: closed - Opened by Sharpen6 about 4 years ago
- 2 comments
Labels: compatibility
#44 - Incompatible with latest version of sklearn
Issue -
State: closed - Opened by yuchaoran2011 about 4 years ago
- 5 comments
Labels: compatibility
#43 - Use pandas default method to generate correlation matrices
Pull Request -
State: closed - Opened by escherba about 4 years ago
- 2 comments
Labels: enhancement
#42 - Use pandas defaults to generate correlation matrix if possible
Pull Request -
State: closed - Opened by escherba about 4 years ago
#41 - plot_dependence_heatmap doesn't work for sklearn 0.23
Issue -
State: closed - Opened by Zianor over 4 years ago
- 3 comments
Labels: compatibility
#40 - ERROR IN "plot_importances"
Issue -
State: closed - Opened by liefficient over 4 years ago
- 1 comment
Labels: question
#39 - 'RandomForestRegressor' object has no attribute 'estimators_'
Issue -
State: closed - Opened by miaomaggie over 4 years ago
- 2 comments
#38 - ERROR: Error checking for conflicts.
Issue -
State: closed - Opened by p2327 over 4 years ago
- 1 comment
Labels: lack of activity
#37 - Improve feature dependence matrix
Pull Request -
State: closed - Opened by mkbldn over 4 years ago
- 1 comment
Labels: enhancement
#36 - Modify sklearn version check to use distutils.version.LooseVersion
Pull Request -
State: closed - Opened by femtomatic over 4 years ago
- 2 comments
Labels: compatibility
#35 - Improve #32 that fixed #27
Pull Request -
State: closed - Opened by parrt over 4 years ago
Labels: enhancement
#34 - Add missing arg to _generate_unsampled_indices
Pull Request -
State: closed - Opened by matheusccouto over 4 years ago
- 6 comments
Labels: compatibility
#33 - TypeError: _generate_unsampled_indices() missing 1 required positional argument: 'n_samples_bootstrap'
Issue -
State: closed - Opened by Yanjiayork over 4 years ago
- 1 comment
Labels: duplicate
#32 - SyntaxError: invalid syntax
Issue -
State: closed - Opened by Yanjiayork over 4 years ago
- 10 comments
#31 - Variable importances differ with subsequent calls.
Issue -
State: closed - Opened by anilkumarpanda over 4 years ago
- 2 comments
#30 - FutureWarning: The sklearn.ensemble.forest module is deprecated in version 0.22 and will be removed in version 0.24
Issue -
State: closed - Opened by tpvasconcelos almost 5 years ago
- 1 comment
Labels: duplicate
#29 - deleted
Issue -
State: closed - Opened by standardAI almost 5 years ago
#28 - Why is this package using R2 as the criterion to evaluate error rate for regression?
Issue -
State: closed - Opened by PowderL almost 5 years ago
- 2 comments
Labels: question
#27 - Error with oob_importances with scikit-learn 0.22.1
Issue -
State: closed - Opened by mkhan037 almost 5 years ago
- 4 comments
Labels: compatibility
#26 - update install requirement to scikit-learn (fix)
Pull Request -
State: closed - Opened by escherba about 5 years ago
- 1 comment
Labels: enhancement
#25 - Use df.corr('spearman') instead of scipy.stats.spearmanr, to deal with dfs with NaNs
Issue -
State: closed - Opened by xoelop about 5 years ago
- 2 comments
Labels: enhancement
#24 - Overload inbuilt sklearn feature_importance for use with RFECV
Issue -
State: closed - Opened by Zylatis over 5 years ago
- 1 comment
Labels: question
#23 - TypeError: 'numpy.ndarray' object is not callable
Issue -
State: closed - Opened by Zylatis over 5 years ago
- 1 comment
#22 - sparse matrix as input
Issue -
State: closed - Opened by 1fmusic over 5 years ago
- 1 comment
Labels: question
#21 - Added multiprocessing for oob_importances (v2)
Pull Request -
State: open - Opened by RohanBhandari almost 6 years ago
- 4 comments
Labels: enhancement
#20 - Added multiprocessing for oob_importances
Pull Request -
State: closed - Opened by RohanBhandari almost 6 years ago
- 11 comments
Labels: enhancement
#19 - Add multiprocessing for oob_importances
Issue -
State: open - Opened by RohanBhandari almost 6 years ago
- 1 comment
Labels: enhancement
#18 - Fixes #17 (Plotting correlation heatmap with 2 features only causes error)
Pull Request -
State: closed - Opened by marcotama almost 6 years ago
Labels: bug
#17 - Plotting correlation heatmap with 2 features only causes error
Issue -
State: closed - Opened by marcotama almost 6 years ago
Labels: bug
#16 - what's the difference between rfpimp.importances and rfpimp.permutation_importances?
Issue -
State: closed - Opened by hmanz almost 6 years ago
- 5 comments
Labels: question
#15 - Positional arguments for 'X_Valid' and 'y_Valid' in dropcol_importances()
Issue -
State: closed - Opened by erykml almost 6 years ago
- 1 comment
Labels: enhancement
#14 - Sample weight corrections
Pull Request -
State: closed - Opened by GilesStrong about 6 years ago
- 3 comments
Labels: bug, enhancement
#13 - TypeError: barh() missing 1 required positional argument: 'bottom'
Issue -
State: closed - Opened by TNFCFA about 6 years ago
- 7 comments
Labels: lack of activity
#12 - Feature importance is zero!!!
Issue -
State: open - Opened by Gunnvant about 6 years ago
- 14 comments
#11 - SyntaxError in python2.7
Issue -
State: closed - Opened by diego-mazon over 6 years ago
- 5 comments
Labels: portability
#10 - Feature correlation p-values and correction methods
Issue -
State: closed - Opened by feribg over 6 years ago
- 4 comments
Labels: enhancement
#9 - Fix Feature collinearity heatmap link
Pull Request -
State: closed - Opened by yskmt over 6 years ago
- 1 comment
Labels: enhancement
#8 - add null importances distributions
Issue -
State: open - Opened by parrt over 6 years ago
Labels: enhancement
#7 - #5 - Full importances function always uses model.score
Pull Request -
State: closed - Opened by feribg over 6 years ago
- 4 comments
Labels: enhancement
#6 - Support for custom metric
Pull Request -
State: closed - Opened by feribg over 6 years ago
- 6 comments
Labels: enhancement
#5 - Full importances function always uses model.score
Issue -
State: closed - Opened by feribg over 6 years ago
- 1 comment
Labels: enhancement
#4 - Dropcol depends on OOB score
Issue -
State: closed - Opened by feribg over 6 years ago
- 3 comments
Labels: enhancement
#3 - ImportError: cannot import name plot_corr_heatmap
Issue -
State: closed - Opened by Shoresh92 almost 7 years ago
- 2 comments
Labels: question
#2 - Added ability to directly supply fig size to feature importance plots
Pull Request -
State: closed - Opened by tjpell almost 7 years ago
- 1 comment
Labels: enhancement
#1 - Added the ability to directly specify figsize to feature importance plots
Pull Request -
State: closed - Opened by tjpell almost 7 years ago
- 1 comment