dmitryikh/leaves

Issues

• LightGBM v4 support

  #93 opened 6 months ago by painhardcore
  2

• use XGEnsembleFromFile to load the xgb model, model_t, err := leaves.XGEnsembleFromFile("xgb_model.json", true)

  #91 opened 8 months ago by absent1353
  1

• predict result different with python

  #90 opened a year ago by aibear-huang
  1

• is this library compatible with catboost?

  #67 opened 5 years ago by Slach
  3

• NOutputGroups always be 0

  #71 opened 5 years ago by dwbaron
  9

• Is there any way to support tweedie regression models?

  #88 opened 2 years ago by tolipoc
  0

• How to deal with missing values for xgboost

  #87 opened 2 years ago by Xelawk
  0

• The prediction is wrong when using XGEnsembleFromFile to load model

  #86 opened 2 years ago by Xelawk
  0

• what's exactly meanings of some parameters?

  #85 opened 2 years ago by Xelawk
  0

• Support the use of sklearn pipelines with prediction model

  #84 opened 2 years ago by mujahiddh
  0

• Question: support for objective:quantile

  #83 opened 3 years ago by meghashyam6
  0

• Does for the LightGBM have support for missing values

  #82 opened 3 years ago by arodionoff
  0

• error for load xgboost:gbtree

  #53 opened 6 years ago by randbear
  14

• Support for newer versions of XGBoost

  #80 opened 4 years ago by Ponewor
  2

• Does leaves support go 1.11

  #57 opened 4 years ago by wkl7123
  0

• Could you please add support for lambdarank(lambdamart)?

  #78 opened 4 years ago by Heepo
  0

• only version=v2 is supported

  #73 opened 5 years ago by HaigLee
  1

• support v3 model encoding

  #66 opened 5 years ago by adamgreenhall
  2

• Total incorrect python xgboost train model,use leaves load model and predict

  #69 opened 5 years ago by luowencai
  2

• Support for returning feature_name in Ensemble struct

  #65 opened 5 years ago by andrew-pengjj
  0

• How complicated would it be to provide the model training part as well?

  #64 opened 5 years ago by arnwas
  0

• Prediction result always be 0.000

  #61 opened 6 years ago by Lirunhua
  1

• Is there the plan for xgboost Ranker with rank:pairwise?

  #60 opened 6 years ago by xexiyong
  0

• Leaves can't load xgboost model which trained for java api?

  #59 opened 6 years ago by lindaqiang
  1

• Unexpected objective field: 'lambdarank'

  #58 opened 6 years ago by upbit
  1

• Meet error when load xgboost model which trained with the API in sklearn

  #56 opened 6 years ago by frontword
  1

• read XGBoost model from JSON

  #27 opened 6 years ago by dmitryikh
  2

• support transformation functions

  #23 opened 6 years ago by dmitryikh
  1

• xgboost consistency failed

  #55 opened 6 years ago by vanillar7
  3

• Understanding the output of Predict

  #52 opened 6 years ago by NikEyX
  4

• obtain the leaf index of gbdt tree

  #51 opened 6 years ago by kyowill
  0

• xgEnsemble prediction results are different from xgboost in python

  #50 opened 6 years ago by EleComb
  2

• support pickle protocol 4

  #49 opened 6 years ago by dmitryikh
  0

• support pickle protocol 3

  #48 opened 6 years ago by dmitryikh
  0

• support pickle protocol 2

  #47 opened 6 years ago by dmitryikh
  0

• add human readable text output of parsed pickle data

  #46 opened 6 years ago by dmitryikh
  0

• support sklearn.ensemble.GradientBoostingRegressor

  #45 opened 6 years ago by dmitryikh
  0

• support sklearn.ensemble.RandomForestRegressor

  #44 opened 6 years ago by dmitryikh
  0

• support sklearn.ensemble.RandomForestClassifier

  #43 opened 6 years ago by dmitryikh
  0

• Add documentation for `doctest.py`

  #35 opened 6 years ago by dmitryikh
  0

• read LightGBM model from JSON

  #26 opened 6 years ago by dmitryikh
  1

• LG: num_leaves=1 support

  #39 opened 6 years ago by dmitryikh
  0

• add test&benchmark on categorical features with LightGBM

  #11 opened 6 years ago by dmitryikh
  1

• support DART from LightGBM?

  #25 opened 6 years ago by dmitryikh
  0

• support DART from XGBoost

  #28 opened 6 years ago by dmitryikh
  0

• support RandomForest from LightGBM

  #24 opened 6 years ago by dmitryikh
  1

• support XGBoost GBLinear (generalized linear models)

  #22 opened 6 years ago by dmitryikh
  0

• support multiclass predictions for LightGBM

  #16 opened 6 years ago by dmitryikh
  0

• Gonum/mat

  #12 opened 6 years ago by sbinet
  2

• internal/xbin I/O

  #13 opened 6 years ago by sbinet
  0