GitLab

* output warning when only set `max_depth`

* Remove check of max_depth

max_depth can take both positive and negative value

* python-package: fix version

* remove version variable

* Prepare merging parameters

* Add parameters from params for lgb.train

* Usage of params in lgb.cv for rounds/early stop

* Double bracket (1)

* Double brackets (2)

* Explain individual predictions using SHAP value feature attributions

* Address code review

* check params

* add test case

* fix pylint

* Fix Invalid decision type error while plotting tree in Python

* Fix Invalid decision type error while plotting tree in Python (modified = to ==)

* Updated link to Development Guide in README.md

* Updated link to DevelopmentGuide in docs/README.md

* Revert "[R-package] Prevent remembering parameters (#796)"

This reverts commit c795e2c8e12e8fe989bde0ab4ee59c2301325814.

* Use model load/unload trick for free-ing up memory

* Missing comma

* Hand copy manual update (1/2)

* Hand copy manual update (2/2)

* Enable simple cloning of dataset

* Add remodel logical to Dataset

* Allow remodeling of data

* Missing comma

* Use name instead of assignment for R6 class

* There should be no need to deep copy ALL objects

* Force fork

* Better random CV + Group + Info handling

* Trailing comma missing

* Switch group fold to nrow

* Switch comparison from non-atomic to atomic

* Update Parameters.md

More readable "num_iterations" description.

* Update Parameters.md

Modified `num_iterations` description, in accordance with the review.

* Update Parameters.md

Modified "Parameters.md" in accordance with the review. 
More explicitly saying that "num_boost_round" is an input argument of the method (not a parameter, passed through the dict).

* params back up

* refine logic

* fix r random crash problem.

* fix R error msg.

* docs: add Advanced-Topic TOC

* docs: add title header to Advanced-Topic.md

* docs: convert development.md to development.rst

`pandoc --columns=200 -f markdown_github -t rst -o development.rst development.md`

* docs: update index.rst

* refine python codes

* fix appveryor test

* add note to feature_importances

* added test for training when both train and valid are subsets of a single lgb.Dataset object

* pep8 changes

* more pep8

* added test involving subsets of subsets of lgb.Dataset objects

* minor fix to contruction of X matrix

* even more pep8

* simplified test further

* fix model feature importance

* fix appveryor test

* Revert "fix appveryor test"

This reverts commit 3a10a1723df5b8579e345d0da07638186257ec64.

* fix warning & boost_from_average_

* fix bug

* alter num_used_model