GitLab

* fixed description of Dataset

* fixed description of Booster

* fixed description of train

* fixed description of cv

* fixed description of callbacks

* fixed description of plotting

* hotfixes

This commit will regain backward compatibility that has been broken
after 015c8fff.

* improved sklearn interface; added sklearns' tests

* moved best_score into the if statement

* improved docstrings; simplified LGBMCheckConsistentLength

* fixed typo

* pylint

* updated example

* fixed Ranker interface

* added missed boosting_type

* fixed more comfortable autocomplete without unused objects

* removed check for None of eval_at

* fixed according to review

* fixed typo

* added description of fit return type

* dictionary->dict for short

* markdown cleanup

* fixed capital letters and formating

* fixed CMake capital letters; added VS 2013 to the list of allowed versions

* expose feature importance to c_api

* support type=gain

* remove dump model from examples and tests temporarily because it's unstable

* use double instead of float

* updated scikit-learn interface

* fixed better description

* updated set_params()

* removed backward compatibility

* removed excess lines

* replaced pop with setdefault

* added deprecated warnings

* added tests

* try to fix python memory leak

* fix parameter error.

* free old handle in _load_model_from_string .

* fix best_score & best_iteration

* refine logics.

* fix tests.

* python-package: fix version

* remove version variable

* 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 ==)

* params back up

* refine logic

* refine python codes

* fix appveryor test

* add note to feature_importances

* added get_ref_chain function to Dataset object, used it in train() to compare if training and validation have common reference ancestors

* moved check of common ancestor reference from train() in engine.py to set_reference() in Dataset

* moved check of common ancestor reference from train() in engine.py to set_reference() in Dataset

* removed check for handle = None

missing parameter "self" in signature of Booster.get_leaf_output

* add keep_training_booster

* use model string

* reset handle; free dataset

thanks for building in early_stopping! super useful.

* setup.py custom install & sdist

* global data_files

* fix install rule

* fix pylint

* clean codes

* use distutils.command

* overwrite install_lib

* add copy_files; fix pylint

* install openmpi only TASK=mpi

* add TASK=sdist & bdist

* setuptools.command instead of distutils

* add METHOD=pip for gpu test

* use openmpi to install gcc

* set OpenCL_INCLUDE_DIR & BOOST_ROOT

* update doc

* export BOOST_ROOT

* update doc

* update doc

* update doc