GitLab

* broadcast info about negative values in categorical features to python package

* update link to categorical_feature parameter

* refined random_state description

* use neutral alias and fixed desc of eval_at param, since metric can be not only ndcg

* simplified checks

* consider verbose alias

* fixed declaring function every loop iteration

* updated docs of num_iterations parameter

* updated num_iterations param description for R

* fix custom metric for multiclass

* fix alias

* fix bug

* fix indent

* fix all negative values in cat features

* fix a bug

* added new aliases for params

* run helper/parameter_generator.py

* removed useless test

* added definition of LightGBM to ReadTheDocs main page

* bold LightGBM

* Rename rst_links_fix.js to script.js

* fix js name in config

* fixed paths in python-package installation

* less cd commands at CI

* hotfix

* added copying missed file from windows directory

* not copy filters file

* refined paths in nuget creation script

* removed filters file from MANIFEST.in

* added parameters consistency test

* less if statements at Travis

* fixed js emulation command and changing device_type on macOS

* fixed typo in parameter list Parameters.rst

fixed typo from contributs to contributes

* Update config.h

* added example about custom feval with sklearn wrapper

* fixed pylint

* added new example in contents

* unified run example commands for Windows and Linux

* added note about comments in examples conf files

* fix bugs

* many fixes

* remove duplicate lines

* test for mingw

* Not nuget in appveyor

* remove mingw build

* Update test.sh

* Update test.sh

* Update test.sh

* fixed macOS wheel name

* don't run docs test at VSTS

* made nuget creating script directory independent

* ignore vim temporary files

* add importance_type arg to sklearn API

* update documentation info

* remote a trailing space

* remove trailing space (again :))

* add instructions on importance choices to sklearn API

* drop mention of constructor in the feature type setting

* adding a test for different feture types

* remove trailing spaces, make shorter assert in feature importance type handling test

* fixing style issue introduced with the new test

* added permalink to each parameter

* run parameter_generator.py

* concretized links

* hotfix

* run parameter_generator.py

* added space between param name and permalink

* added info about initscore_filename in Continued Training section and edited links

* replaced aliases for weight and group with original names

* disable emoji

https://github.com/Microsoft/LightGBM/issues/1492

* Fix lgb.Dataset construct issue with 1:n sequence in R v 3.5

* Add tests for feature penalties