GitLab

[python-package] make a shallow copy when replacing categorical features with codes (fixes #4596) (#5225)

* [R-package] stop automatically calculating eval metrics on training data in lightgbm()

* update docs

* update docs

* roxygen cares about line breaks

* Update CODEOWNERS

* Update CODEOWNERS

* Update CODEOWNERS

* Update CODEOWNERS

* Update CODEOWNERS

* allow using feature names when retrieving number of bins

* unname vector

* use default feature names when not defined

* lint

* apply suggestions

* remove extra comma

* add test with categorical feature

* make feature names sync more transparent

minor improvements on weight demo

* [R-package] remove lgb.unloader()

* update version reference

* Update dataset_loader.cpp

* Update gbdt.h

* Update regression_objective.hpp

* Update linker_topo.cpp

* Update xentropy_objective.hpp

* Update regression_objective.hpp

* investigate inf test failure

* avoid overflow in regression objective

* remove `test_inf_handle` test
Co-authored-by: Guolin Ke <guolin.ke@outlook.com>

* [R-package] ensure that callbacks respect verbosity from params

* added tests on lgb.train()

* add lgb.cv() tests

* add fix for lightgbm()

* fix early stopping tests

* start reduucing duplication in tests

* more simplification

* more simplification

* reduce more code duplication

* centrallize more details

* reuse more logic across tests

* more code re-use

* started condensing lgb.cv test code

* further condense lgb.cv() tests

* re-use more code lgb.cv() tests

* more condensing

* Update test_windows.ps1

* Update .appveyor.yml

* Update test_windows.ps1

* Update test_windows.ps1

* Update test_windows.ps1

* Update test_windows.ps1

* Update test_windows.ps1

* Update .appveyor.yml

* Update test_windows.ps1

* Update .appveyor.yml

* Update .appveyor.yml

* [ci] fix git checkout for comment-triggered CI jobs

* set locale prior to installing packages

* comment out cuda

* change strategy for setting locale

* comment out R jobs

* comment out more CI jobs

* update locales before installing other packages

* remove unnecessary packages

* add libc6 back

* restore libicu and libssl

* Revert "comment out more CI jobs"

This reverts commit 8fd92144ad1dafc33ae699d7c3e159d8846e41b2.

* uncomment CI jobs

* revert more changes

* more reverting

* remove r_package.yml from diff

* Update dataset_loader.cpp

* Update config.cpp

* Update application.cpp

* Update linkers_socket.cpp

[R-package] allow use of `categorical_features` in Dataset when raw data does not have column names (fixes #4374) (#5184)

* check for number of columns if data is matrixx for categorical indices check

* check for error when using a greater index than the number of columns

* apply suggestion
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* revert whitespace change

* check if is filename instead of matrix
Co-authored-by: James Lamb <jaylamb20@gmail.com>

* check number of features when retrieving number of bins

* check for negative values

* lint

* skip auto-injected tasks at Azure Pipelines

* Update .vsts-ci.yml

* fix predict() params

* [R-package] ensure values in params override keyword arguments to predict() (fixes #4670)

* revert accidentally-introduced unrelated test changes

* Update R-package/tests/testthat/test_Predictor.R
Co-authored-by: José Morales <jose.morales@kavak.com>

* Update R-package/tests/testthat/test_Predictor.R
Co-authored-by: José Morales <jose.morales@kavak.com>

* linting

* remove nammes in shap test

* changes to tests
Co-authored-by: José Morales <jose.morales@kavak.com>

[python-package] remove 'fobj' in favor of passing custom objective function in params (fixes #3244) (#5052)

* feat: support custom metrics in params

* feat: support objective in params

* test: custom objective and metric

* fix: imports are incorrectly sorted

* feat: convert eval metrics str and set to list

* feat: convert single callable eval_metric to list

* test: single callable objective in params
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* feat: callable fobj in basic cv function
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: cv support objective callable
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* fix: assert in cv_res
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* docs: objective callable in params
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* recover test_boost_from_average_with_single_leaf_trees
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* linters fail
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* remove metrics helper functions
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* feat: choose objective through _choose_param_values
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: test objective through _choose_param_values
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: test objective is callabe in train
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: parametrize choose_param_value with objective aliases
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: cv booster metric is none
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* fix: if string and callable choose callable
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test train uses custom objective metrics
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: cv uses custom objective metrics
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* refactor: remove fobj parameter in train and cv
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* refactor: objective through params in sklearn API
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* custom objective function in advanced_example
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* fix whitespackes lint

* objective is none not a particular case for predict method
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* replace scipy.expit with custom implementation
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* test: set num_boost_round value to 20
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* fix: custom objective default_value is none
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* refactor: remove self._fobj
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* custom_objective default value is None
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* refactor: variables name reference dummy_obj
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* linter errors

* fix: process objective parameter when calling predict
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

* linter errors

* fix: objective is None during predict call
Signed-off-by: Miguel Trejo <armando.trejo.marrufo@gmail.com>

[python] Use predefined constant in feature importance type comparison instead of raw int literal (#5148)

* [R-package] reduce cost of repeated parameter alias checks

* formatting

* [ci] update to R 4.1.3 and use macOS-latest for R jobs (fixes #4990)

* update Windows version

* update docs env

* simplify r-package config

* Document behaviour of the first linear estimator

* Properly update docs
Co-authored-by: Pablo-Davila <Pablo-Davila@users.noreply.github.com>