StatMixedML/XGBoostLSS

Issues

• update torch, optuna & scikitlearn install deps

  #77 opened 6 months ago by hugolytics
  0

• Statistical test for distribution fitting

  #75 opened 7 months ago by hadarshavit
  3

• Could we use the new multi-output `xgboost` ?

  #74 opened a year ago by tim-x-y-z
  0

• SHAP for categorical features

  #70 opened a year ago by p-schaefer
  2

• Reducing `install_requires` to minimum (& expand `extras_require`) and looser version ranges

  #56 opened a year ago by gmgeorg
  3

• `skpro` integration

  #69 opened a year ago by fkiraly
  1

• Suggestion: spin-off the `distributions` module into a shared common dependency among all *lss modules

  #62 opened a year ago by gmgeorg
  1

• XGBoostLSSRegressor - Scikit Learn API

  #64 opened a year ago by joshdunnlime
  4

• Regarding XGBoostLSS

  #59 opened a year ago by dips96
  5

• Publish to PyPi

  #19 opened 3 years ago by kevinmickey
  4

• Feature Request: Support Lambert W x F distributions

  #54 opened a year ago by gmgeorg
  0

• Support for censored probabilistic regression (survival analysis; AFT models)

  #52 opened a year ago by gmgeorg
  1

• EvoTreesLSS?

  #50 opened a year ago by ParadaCarleton
  0

• Multi-task learning and ONNX support

  #45 opened a year ago by ogencoglu
  0

• Zero (and one?) adjusted Dirichlet?

  #40 opened 2 years ago by p-schaefer
  1

• Expectile Crossing and Predicted Distribution Recentering at Zero

  #36 opened 2 years ago by maxfield-green
  3

• Distribution loss_fn

  #37 opened 2 years ago by pmelo
  3

• Loading Models - Losing Information

  #31 opened 2 years ago by fatday
  4

• Distribution error: Tensor of shape..

  #35 opened 2 years ago by sirdawar
  16

• Cannot install package

  #33 opened 2 years ago by StatMixedML
  1

• Cannot install package

  #32 opened 2 years ago by StatMixedML
  0

• Support for XGBoost >= 1.6

  #30 opened 2 years ago by rohanp-eiq
  2

• Support categorical features?

  #26 opened 2 years ago by p-schaefer
  1

• Constant prediction parameters

  #23 opened 2 years ago by mengyaoji
  6

• Feature request: Support Tweedie Distribution

  #11 opened 3 years ago by edgBR
  26

• Model Tuning: Validation Metric

  #20 opened 3 years ago by markpearl
  12

• Choose values of loc, scale, etc. for norm.ppf

  #21 opened 3 years ago by ahbon123
  1

• Bump versions and tag them

  #18 opened 3 years ago by kevinmickey
  2

• Serialization issue

  #17 opened 3 years ago by edgBR
  8

• Question on scaling to large dataset

  #13 opened 3 years ago
  4

• Beta distribution - 0 log-likelihood, 'mean of empty string' message

  #14 opened 3 years ago by dlewis-esure
  10

• Out of MemoryError

  #15 opened 3 years ago by DaanFerdinandusse
  2

• large scale values for NBI distribution

  #12 opened 3 years ago by hrkadkhodaei
  2

• XGBoostLSS for uncertainty estimation in binary classification

  #10 opened 3 years ago by mathijs02
  2

• xgboostlss.predict() only gives results for pred_type="parameters"

  #9 opened 3 years ago by TheRealSalmon
  2

• code upload?

  #7 opened 3 years ago by antonyalexos
  18

• implement python version

  #4 opened 5 years ago by Diyago
  7

• Multi-parameter optimization with custom loss function for probabilistic forecasting

  #8 opened 4 years ago by StatMixedML
  12

• package install

  #5 opened 5 years ago by fipoucat
  6

• XGBoostLSS for Julia

  #6 opened 5 years ago by azev77
  1

• Cannot Find the Source Code

  #3 opened 5 years ago by houchangtao
  4

• XGBoostLSS Readme Review

  #2 opened 6 years ago by StatMixedML
  2

• Simulated Data Image

  #1 opened 6 years ago by StatMixedML
  1