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* avoid nan and inf in weight/label/init_score

* use prefix increment

* R docs cleanup

* regenerated R documentation files

* add parameter

* implement

* fix bug

* fix bug

* fix according comment

* add test

* Update test_engine.py

* Update test_engine.py

* Update test_engine.py

* added R-package docs generation routines

* change theme to be more consistent with sphinx_rtd_theme on main site in terms of color scheme

* placed man folder with old Rd files back

* specify full path to conda and make script more readable by one line - one pkg

* removed commented lines from build_r_site script

* made one line - one argument in build_reference() call

* pin R package versions

* fixed conflict

* [mmlspark] Fix cached predictor causing bad values for predicted probabilities

* updated based on comments

* removed tabs

* change network retry delay strategy

* refine

* norm the lambda scores

* change default to false

* update doc

* typo

* Update Parameters.rst

* Update config.h

* Update test_sklearn.py

* Update test_sklearn.py

* Update test_sklearn.py

* Update test_sklearn.py

* Update test_sklearn.py

* Update rank_objective.hpp

* Update Parameters.rst

* Update config.h

* Update test_sklearn.py

* Update test_sklearn.py

* Update test_sklearn.py

* fixed overly-strict copmiler check in install.libs.R (fixes #2259)

* made compiler check in install.libs.R more defensive

* fix the bug in bin with small values

* Update bin.cpp

* Update test_engine.py

* allow usage and compilation of 32-bit library

* added docs

* Lambdas and hessians need to factor sigmoid_ into the computation. Additionally, the sigmoid function has an arbitrary factor of 2 in the exponent; it is not just non-standard but the gradients are not computed correctly anyway.

* Update unit test

* Also remove a heuristic that normalizes the gradient by the difference in scores.

* Also fix unit test after removing the heuristic

* Fix bug where small values of max_bin cause crash.

* Revert "Fix bug where small values of max_bin cause crash."

This reverts commit fe5c8e2547057c1fa5750bcddd359dd7708fab4b.

* Fix bug where small values of max_bin cause crash.

* Reset random seed in test, remove extra blank line.

* Minor bug fix. Remove extra blank line.

* Change old test to account for new binning behavior.

* fix nan in tree model

* fix

* updated docker folder

* added depth=1 option to all git commands

* reworked pandas dtypes mapper

* added tests

* added sparsity support for new version of pandas

* fixed tests for old pandas

* check pd.Series for bad dtypes as well

* enhanced tests

* fixed pylint

* add Dockerfile for R

* update documentation and small fixes

part of code review in #2308

* add missing link in Docker README

Otherwise, it would print `basic.py:762: UserWarning: categorical_feature in param dict is overridden.`. Because when updating the params for a validation test, the updated params for the train test was used which contains `'categorical_column'`.

* removed aliases from options in params

* minor fixes in FAQ

* Update Installation-Guide.rst

* Update Installation-Guide.rst

* limit number of files to scan for autosummary generation

* reorganize conf.py