GitLab

* added new aliases for params

* run helper/parameter_generator.py

* removed useless test

The document of `early_stopping_rounds` says it will check all of
eval_set. But, this is not true. It doesn't check the dataset
specified as the training data.

This change appends an extra phrase "except the training data" to all
of the sentences "If there's more than one, will check all of them" in
documents.

* Fixed misc CRAN issues

* Added additional details to R-package DESCRIPTION

* fixed typos and hotfixes

* converted gcc-tips.Rmd; added ref to gcc-tips

* renamed files

* renamed Advanced-Topics

* renamed README

* renamed Parameters-Tuning

* renamed FAQ

* fixed refs to FAQ

* fixed undecodable source characters

* renamed Features

* renamed Quick-Start

* fixed undecodable source characters in Features

* renamed Python-Intro

* renamed GPU-Tutorial

* renamed GPU-Windows

* fixed markdown

* fixed undecodable source characters in GPU-Windows

* renamed Parameters

* fixed markdown

* removed recommonmark dependence

* hotfixes

* added anchors to links

* fixed 404

* fixed typos

* added more anchors

* removed sphinxcontrib-napoleon dependence

* removed outdated line in Travis config

* fixed max-width of the ReadTheDocs theme

* added horizontal align to images

* minor changes for robustness and efficiency

* fix charcter typo

* don't use lgb.is.* in filter

* revert to cat instead of message; don't use mget

* fix bugs in previous commits

* should be good to go now

* 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)

* 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

* Define environment in examples (xgboost clash)

* Large R code changes

* src & callbacks

* lgb.Booster and utils

* cv

* wip lgb.Dataset

* lgb.Dataset

* lgb.Predictor

* lgb.train

* typos

* add flags to facilitate macosx compilation

* fix basic_string template error with clang

* most unfortunate mode of development

* fixup tests

* last test

* roxygen

* roxygen v5.x.x

* finish R's c_api

* clean code

* fix sizeof pointer in 32bit system.

* add predictor class

* add Dataset class

* format code

* add booster

* add type check for expose function

* add a simple callback

* add all callbacks

* finish the basic training logic

* update docs

* add an simple training interface

* add basic test

* adapt the changes in c_api

* add test for Dataset

* add test for custom obj/eval functions

* fix python test

* fix bug in metadata init

* fix R CMD check