GitLab

* [R-package] removed horizontal whitespace (fixes #1642)

* [R-package] fixed missing newline in test file

* Fix CI (#1652)

* Update .travis.yml

* Update .appveyor.yml

* only tags for build

* Update .vsts-ci.yml

* Update .vsts-ci.yml

* pass params to predictor

* hotfix

* added test for pandas label of Dataset

* fix when label type is pandas DataFrame; document possible pandas Series type

* added links to corresponding params in Quick-Start guide

* updated description of possible input types in python

* clarify list of numpy arrays input type in docs

* fix ndcg group

* fix ndcg

* pass params to _InnerPredictor in train and cv

* fixed verbosity param description

* treat silent param as Fatal log level

* create Dataset in refit method silently

* do not overwrite verbose param by silent argument

* Help fixing #1540

* Handle character matrix corner case

* Update with recommendation in #1638

* Update README.md

* Update README.rst

* Update Installation-Guide.rst

* Update Installation-Guide.rst

* use kwargs in tree plotting functions

* relaxed version

* added possibility to predict numpy array with nrow > max_int32

* save memory more efficient

* better variable name

* added possibility to predict scipy.sparse.csr matrix with nrow > max_int32

* added possibility to predict scipy.sparse.csc matrix with nrow > max_int32

* reworked numpy array case

* Fixed typos in docs

* Fixed inconsistencies in documentation

* Updated strategy for registering routines

* Fixed issues caused by smashing multiple functions into one Rd

* Fixed issues with documentation

* Removed VignetteBuilder and updated Rbuildignore

* Added R build artefacts to gitignore

* Added namespacing on data.table set function. Updated handling of CMakeLists file to get around CRAN check.

* Updated build instructions

* Added R build script

* Removed build_r.sh script and updated R-package install instructions

* added SWIG compile guide for Windows and tip about JAVA_HOME

* fix grammar

* bring consistency and clearness into early_stopping_rounds desc, metric desc and implementation

* hotfix

* hotfix

* used NDCG as default metric for lambdarank task

* fixed missed methods at ReadTheDocs and changed default eval_metric

* leaved only unique metrics

* fixed comment

* added NumberOfTotalModel and NumModelPerIteration to C_API and python-package

* fixed tests

* added tests for current_iteration, num_trees, num_model_per_iteration methods

* break huge line in test

* hotfix

* try to fix nuget

* add exe copy

* Update create_nuget.py

* Update .vsts-ci.yml

* add build folder

* fix build folder

* Update create_nuget.py

* Update create_nuget.py

* Update create_nuget.py

* Update create_nuget.py

* update version to test on nuget.org

* add support of refit-decay

* add refit into c_api

* add test

* update document

* Update basic.py

* Update test_engine.py

* Update basic.py

* Update test_engine.py

* fix comments

* update test

* fix the comments

* Update test_engine.py

* Update .vsts-ci.yml

* Update test.sh

* fix optimization rule

* preallocate vector in RowFunctionFromCSR

* fix-parallel-quantile

* Update serial_tree_learner.cpp