tidymodels/bonsai

Issues

• Enable lightgbm models to accept sparse matrices

  #91 opened 2 months ago by topepo
  0

• aorsf support for `mtry_prop`

  #87 opened 5 months ago by cgoo4
  2

• `aorsf` - engine: model fit fails if `mtry` is specified

  #90 opened 5 months ago by MasterLuke84
  2

• Release bonsai 0.3.1

  #88 opened 5 months ago by simonpcouch
  0

• aorsf with doParallel cluster has interesting error

  #85 opened 6 months ago by frankiethull
  6

• Feature idea - provide custom validation sets for early stopping

  #48 opened 2 years ago by dfsnow
  4

• Release bonsai 0.3.0

  #83 opened 6 months ago by simonpcouch
  0

• bump minimum aorsf version

  #82 opened 6 months ago by simonpcouch
  3

• support aorsf

  #73 opened 7 months ago by simonpcouch
  0

• Method for passing linear_tree or other params that should be routed to lgb.Dataset rather than lgb.train

  #77 opened 7 months ago by joranE
  7

• add support for case weights with lightgbm engine

  #65 opened 8 months ago by nipnipj
  7

• correct misregistered model arguments for partykit

  #74 opened 8 months ago by simonpcouch
  0

• bump minimum required R version

  #80 opened 8 months ago by simonpcouch
  0

• type check error for arguments mistakenly passed as `tune()`

  #79 opened 8 months ago by simonpcouch
  0

• Supporting EBMs (Explainable Boosting Machines)

  #75 opened 9 months ago by seb-mueller
  1

• Add hex to meta repo

  #69 opened a year ago by hfrick
  2

• Catboost engine support

  #70 opened a year ago by jrosell
  1

• transition to cli

  #68 opened a year ago by simonpcouch
  0

• properly resolve `obj` alias `objective`

  #66 opened 2 years ago by nipnipj
  3

• Feature idea - Linking hyperparameters during CV

  #49 opened 2 years ago by dfsnow
  3

• multi_predict() doesn't support `type = "raw"` predictions for `{lightgbm}` classification models

  #45 opened 2 years ago by jameslamb
  1

• Rows with missing values in input data seem to be entirely dropped when using lightgbm

  #67 opened a year ago by tcovert
  3

• {lightgbm} v4.0.0 is coming

  #34 opened a year ago by jameslamb
  14

• validation in classification task

  #64 opened 2 years ago by nipnipj
  1

• custom validation data.

  #63 opened 2 years ago by nipnipj
  2

• Custom metrics

  #62 opened 2 years ago by nipnipj
  1

• Upkeep for bonsai

  #60 opened 2 years ago by simonpcouch
  1

• use package-level documentation file

  #4 opened 3 years ago by topepo
  1

• partykit prediction differences

  #9 opened 3 years ago by simonpcouch
  1

• handling `mtry` with lightgbm

  #12 opened 3 years ago by simonpcouch
  4

• Add references in the description file

  #3 opened 3 years ago by topepo
  1

• pass `stop_iter` as `early_stopping_rounds` to `train_lightgbm`

  #15 opened 3 years ago by simonpcouch
  2

• allow passing main arguments to `lightgbm::lgb.train`

  #8 opened 3 years ago by simonpcouch
  1

• handle parallel processing more gracefully

  #18 opened 3 years ago by simonpcouch
  1

• handling missing values in lightgbm

  #11 opened 3 years ago by simonpcouch
  2

• submodes for min_n

  #19 opened 3 years ago by topepo
  2

• Add gbm?

  #5 opened 3 years ago by topepo
  2

• interface for `stop_iter` validation set

  #17 opened 3 years ago by simonpcouch
  1

• address TODO linking to parsnip docs

  #27 opened 3 years ago by simonpcouch
  2

• Missing details_boost_tree_lightgbm help page

  #28 opened 3 years ago by pinogl
  3

• catboost

  #36 opened 2 years ago by nipnipj
  2

• 'reshape' argument to predict() will be removed in LightGBM v4.0.0

  #40 opened 2 years ago by jameslamb
  2

• Things to keep in mind when saving lightgbm models?

  #44 opened 2 years ago by dpprdan
  9

• lightgbm model doesn't see sample_size parameter from boost_tree

  #30 opened 2 years ago by bwilkowski
  4

• [LightGBM] [Fatal] [tweedie]: at least one target label is negative

  #50 opened 2 years ago by barrettlayman
  3

• ` feature_fraction` description maps to wrong parameter

  #31 opened 2 years ago by joeycouse
  2

• Lightgbm tuned with parallel processing unable to predict

  #52 opened 2 years ago by DesmondChoy
  5

• R CMD check runs with 1600%+ CPU load

  #54 opened 2 years ago by HenrikBengtsson
  3

• resolving aliased argument names with lightgbm

  #53 opened 2 years ago by simonpcouch
  5

• predict `type` warning with lightgbm

  #56 opened 2 years ago by simonpcouch
  1