Skip to content

Issues: dmitryikh/leaves

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.

Sign up for GitHub

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

32 Open 23 Closed
32 Open 23 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

LightGBM v4 support
#93 opened Jul 9, 2024 by painhardcore
2
use XGEnsembleFromFile to load the xgb model, model_t, err := leaves.XGEnsembleFromFile("xgb_model.json", true)
#91 opened May 3, 2024 by absent1353
1
predict result different with python
#90 opened Oct 27, 2023 by aibear-huang
1
Is there any way to support tweedie regression models?
#88 opened Sep 16, 2022 by tolipoc
How to deal with missing values for xgboost
#87 opened Aug 18, 2022 by Xelawk
Support the use of sklearn pipelines with prediction model
#84 opened Aug 9, 2022 by mujahiddh
Question: support for objective:quantile
#83 opened May 16, 2022 by meghashyam6
Does for the LightGBM have support for missing values
#82 opened Apr 22, 2022 by arodionoff
Support for newer versions of XGBoost
#80 opened Jan 22, 2021 by Ponewor
2
Could you please add support for lambdarank(lambdamart)?
#78 opened Jan 12, 2021 by Heepo
only version=v2 is supported
#73 opened Apr 24, 2020 by HaigLee
1
NOutputGroups always be 0
#71 opened Feb 25, 2020 by dwbaron
9
Total incorrect python xgboost train model,use leaves load model and predict question Further information is requested
#69 opened Nov 22, 2019 by luowencai
2
is this library compatible with catboost? enhancement New feature or request
#67 opened Nov 7, 2019 by Slach
4
support v3 model encoding
#66 opened Oct 21, 2019 by adamgreenhall
2
Support for returning feature_name in Ensemble struct
#65 opened Oct 18, 2019 by andrew-pengjj
How complicated would it be to provide the model training part as well?
#64 opened Oct 6, 2019 by arnwas
Prediction result always be 0.000
#61 opened Jun 25, 2019 by Lirunhua
1
Is there the plan for xgboost Ranker with rank:pairwise?
#60 opened Jun 21, 2019 by xexiyong
Leaves can't load xgboost model which trained for java api?
#59 opened May 10, 2019 by lindaqiang
1
Meet error when load xgboost model which trained with the API in sklearn
#56 opened Apr 8, 2019 by frontword
1
error for load xgboost:gbtree
#53 opened Jan 24, 2019 by randbear
14
obtain the leaf index of gbdt tree
#51 opened Dec 28, 2018 by kyowill
support pickle protocol 4
#49 opened Nov 17, 2018 by dmitryikh
support pickle protocol 3
#48 opened Nov 17, 2018 by dmitryikh
ProTip! Type g p on any issue or pull request to go back to the pull request listing page.