GitLab

* break extremely large lines in basic.py

* break extremely large lines in callback.py

* break extremely large lines in engine.py

* break extremely large lines in sklearn.py

* hotfixes

* added sklearn splitter classes in cv function

* added tests

* warning on categorical feature with sparse values

* [docs] categorical features note

* pass params to predictor

* hotfix

* added test for pandas label of Dataset

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

* 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

* 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

* 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

* 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

* add start_iteration in model saving

* fix test

* shuffle models ability

* fix bug

* update document

* refine

* Update engine.py

* Update basic.py

* fix comments

* fix comment

* added python 3.7 to the list of supporting versions

* reorganized python versions at Travis

* addressed review comments

* refined num_iteration argument in python

* hotfix

* added clang test

* hotfix

* downgrade required AppleCLang version

* fixed CMakeLists

* prevent case when CMake is downgraded by libomp

* fixed Clang test

* moved MSVC version check to the better place

* compile with Clang at Travis on Linux

* clear .travis.yml

* fixed indents

* added support of MPI test at Travis with macOS

* added FAQ entry about OpenMP library error

* updated installation guide

* moved APPLE_OUTPUT_DYLIB to other options

* fix check-docs test: ignore old url from error message

* added example of symlink command in FAQ

* fixed markdown

* capitalized heading

* updated Python installation guide

* changed mode in message command

* added notes about MinGW efficiency problems

* updated R-package installation guide

* use quotes for gcc version

* removed excess 'Note' phrase

* 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

* added new aliases for params

* run helper/parameter_generator.py

* removed useless test

* 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

* 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