scikit-learn-contrib forest-confidence-interval issues

scikit-learn-contrib / forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

http://contrib.scikit-learn.org/forest-confidence-interval/

MIT License

282 stars 47 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Release v0.7

#115 danieleongari closed 2 months ago
0
Improve calibration

#114 el-hult closed 2 months ago
2
Handle MultiOutput model

#113 danieleongari closed 2 years ago
3
New Release

#112 DasCapschen closed 2 months ago
2
pass only shape for X_train

#111 DasCapschen closed 2 years ago
4
Handle only one test sample and warn the user about CI accuracy

#110 danieleongari closed 2 years ago
1
Array dimensions incorrect for confidence intervals

#109 ljaniurek closed 4 months ago
12
Benchmarking confidence intervals

#108 cyrusmaher closed 2 months ago
2
Update some of the examples and other things to fix doc build

#107 arokem closed 3 years ago
0
Compatibility issues with scikit-learn 0.24.2

#106 alliMD closed 3 years ago
1
Can this package be adapted to perform Thompson sampling?

#105 douglasmason closed 2 months ago
1
Sum taken over wrong axis

#104 bchugg closed 2 months ago
3
ValueError on multiple output problems

#103 IguanasInPyjamas closed 2 months ago
1
cannot import name '_get_n_samples_bootstrap'

#102 dlfosterbot closed 2 months ago
4
Overhaul documentation

#101 arokem closed 3 years ago
1
ENH: Allow forestci to work on general Bagging estimators

#100 richford closed 3 years ago
7
Allow general bagging estimators

#99 richford closed 3 years ago
0
Applicability to non-binary classification tasks

#98 AlCorreia opened 4 years ago
0
forest error are all NaN

#97 newTypeGeek closed 2 months ago
10
Make sure that tests are run on PRs.

#96 arokem closed 4 years ago
1
Adds a workflow to build the docs.

#95 arokem closed 4 years ago
1
Move to GitHub Actions.

#94 arokem closed 4 years ago
1
All 0's in `g_eta_raw`.

#93 m0wer closed 2 months ago
4
amount of trees needed to work

#92 joachimder closed 2 months ago
1
Replace deprecated fetch_mldata by fetch_openml

#91 MartinUrban closed 4 years ago
1
Fix an averaging bug that has been referred to in issue #80

#90 cewaphi closed 2 years ago
0
Not compatible with SKLearn version 0.22.1

#89 csanadpoda closed 4 years ago
4
Overflow errors

#88 tawe141 closed 2 months ago
5
Can't uninstall forestci

#87 tawe141 closed 4 years ago
1
Warning: sklearn.ensemble.forest module is deprecated in version 0.22

#86 sq5rix closed 4 years ago
3
utilize n_samples_bootstrap when generating sample indices

#85 emptymalei closed 4 years ago
1
Unnecessary usage of training data?

#84 chahakmehta closed 2 years ago
0
random_forest_error() does not work without scalers.

#83 chahakmehta closed 2 months ago
1
Retire the Python 2 CI.

#82 arokem closed 5 years ago
0
progress indicator?

#81 AlJohri opened 5 years ago
1
V_IJ_unbiased is zero, when x_test = 1

#80 Maxfashko closed 2 months ago
4
Docs update

#79 ericmjl closed 5 years ago
0
NaNs in V_IJ

#78 ericmjl closed 2 months ago
5
Random error in fci.random_forest_error for clasification

#77 miranov25 opened 5 years ago
0
confidence interval on train data

#76 BSharmi closed 2 months ago
3
Fix typos and make comment style consistent

#75 MaxGhenis closed 6 years ago
1
Add low memory implementation of core computation

#74 owlas opened 6 years ago
7
Add low memory implementation of core computation

#73 owlas closed 6 years ago
2
Zero confidence intervals

#72 swarnendubiswas closed 2 months ago
16
Usage in practised application

#71 JIAZHEN closed 6 years ago
4
Bug memory kws

#70 owlas closed 6 years ago
7
modified README with JOSS citation badge and BibTex

#69 kpolimis closed 6 years ago
0
Paper describing work?

#68 ericmjl closed 6 years ago
2
BF: Use our API in the examples.

#67 arokem closed 6 years ago
1
Examples are broken

#66 arokem closed 6 years ago
1