Issues: scikit-learn/scikit-learn
Scikit-learn office hours Monday June 27, 2022 from 4 pm to 5...
#23070
opened Apr 7, 2022 by
glemaitre
Open
3
How to fix merge conflicts related to the black code style re...
#20301
opened Jun 18, 2021 by
ogrisel
Open
14
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Author
Label
Projects
Milestones
Assignee
Sort
Issues list
How observations with sample_weight of zero influence the fit of HistGradientBoostingRegressor
Bug
#24728
opened Oct 22, 2022 by
JoaquinAmatRodrigo
AttributeError: 'MLPRegressor' object has no attribute '_best_coefs'
Bug
#24713
opened Oct 21, 2022 by
davidshumway
check_classifiers_train fails when tag requires_positive_X=True
Bug
module:test-suite
everything related to our tests
module:utils
#24659
opened Oct 14, 2022 by
eguidotti
Multi-class roc_auc_score raises error when y_true is not sampled with all label of classes
Bug
Needs Triage
Issue requires triage
#24636
opened Oct 11, 2022 by
ding3820
HalvingRandomSearchCV error
Bug
Needs Triage
Issue requires triage
#24634
opened Oct 11, 2022 by
poetair
Inconsistent Results For Logistic Regressions across multiple computers
Bug
Needs Investigation
Issue requires investigation
#24615
opened Oct 10, 2022 by
NickBrecht
Linear Regression performs different on sparse matrix
Bug
Needs Triage
Issue requires triage
#24601
opened Oct 7, 2022 by
epplef
Exit Code -1073741819 when doing K-means++ clustering
Bug
module:cluster
Needs Investigation
Issue requires investigation
#24540
opened Sep 29, 2022 by
maronjan
Segmentation error when calling .fit()
Bug
Needs Triage
Issue requires triage
#24537
opened Sep 29, 2022 by
JoostKooijman
BUG log_loss renormalizes the predictions
Bug
module:metrics
Needs Triage
Issue requires triage
#24515
opened Sep 26, 2022 by
lorentzenchr
GroupShuffleSplit chokes on pd.Int16Dtype() with a cryptic error
Bug
module:model_selection
#24486
opened Sep 21, 2022 by
DSLituiev
MLPRegressor - Validation score wrongly defined
Bug
Enhancement
module:neural_network
#24411
opened Sep 9, 2022 by
ducvinh-nguyen
log_loss giving nan when input is np.float32 and eps is default
Bug
help wanted
#24315
opened Sep 1, 2022 by
gsiisg
BayesianRidge prediction standard deviation affected by uniform sample weights
Bug
module:linear_model
Needs Investigation
Issue requires investigation
#24313
opened Sep 1, 2022 by
gknilsen
adjusted_mutual_info_score takes a long time with lists containing many unique values
Bug
module:metrics
Needs Investigation
Issue requires investigation
#24254
opened Aug 24, 2022 by
bchen1116
Balltree's node_data radii seems to be incorrect
Bug
module:neighbors
Needs Triage
Issue requires triage
#24228
opened Aug 23, 2022 by
jihan-yin
explained_variance_ratio_ > 1.0
Bug
module:decomposition
Needs Reproducible Code
Issue requires reproducible code
#24205
opened Aug 19, 2022 by
moi90
sklearn.svm.SVR use more RAM memory on newer versions
Bug
module:svm
Needs Investigation
Issue requires investigation
#24138
opened Aug 6, 2022 by
PerformanceDetect
Gaussian Process regression get_params set_params does not yield same predictor?
Bug
module:gaussian_process
Needs Investigation
Issue requires investigation
#24107
opened Aug 4, 2022 by
cottrell
Weights are being normalized using number of samples as opposed to sum in GaussianMixture
Bug
Easy
Well-defined and straightforward way to resolve
module:mixture
#24085
opened Aug 2, 2022 by
kshitijgoel007
RandomForestClassifier class_weight/max_samples interaction can lead to ungraceful and nondescriptive failure
Bug
good first issue
Easy with clear instructions to resolve
module:ensemble
module:tree
#24037
opened Jul 28, 2022 by
swight-prc
check_estimator cannot validate SGDClassifier with log_loss
Bug
module:linear_model
module:utils
#24025
opened Jul 27, 2022 by
jaime-cespedes-sisniega
Previous Next
ProTip!
Follow long discussions with comments:>50.