GitLab

* 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

* 📝 FAQ overhaul for Issue #2268

Reformat "Contents" to use the `.. contents::` directive
Reword "Critical" into "Critical Issues"
Reformat "Critical" section to define "critical issues"
Reformat FAQ sections to follow a new format
Reformat FAQ sections so individual questions have links

All sections now follow a new format (below).
A "frequently asked question" may also include a possible
cause and a solution (if the two are not obvious from
the context):

```rst
Section Title
=============

.. contents::
  :local:
  :backlinks: none

1. Question 1
-------------

**Possible Cause**: This is likely due to...

**Solution**: Fix with...
```

* ✏️ Correcting typos and links

Add period to `2. Error messages: ....`
Fix links to FAQ in Installation-Guide.rst

* ✏️ Removing FAQ link and correcting `python-package` README

Drop general FAQ link in `Installation-Guide.rst`
Add FAQ question links to `python-package/README.rst`

* added FAQ on early stopping (fixes #2270)

* fixed indentation in FAQ

* Update docs/FAQ.rst
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* 🎨 `sphinx.ext.autosummary` for generating Python-API summaries

Add `docs/.gitignore` to not track autosummary stubs
Add `sphinx.ext.autosummary` in `docs/conf.py`
  Add 'members' and 'inherited-members' as default parameters
  Add 'autosummary = True' for setting output with `:toctree:`
Add `.. autosummary::` tags to replace `.. autoclass::`

Previously the `Python-API.rst` dumped all of the Python API onto
a single page.

This replaces the Python-API documentation with an index listing
all modules, and paginates all functions and classes onto
separate pages.

* ✏️ Corrections following feedback

Drop `docs/.gitignore` to use the general `.gitignore`
Add `show-inheritance` to `autodoc_default_flags` in `docs/conf.py`
Fix `both` to `class` in `autoclass_content` in `docs/conf.py`

* ✏️ Replacing deprecated Sphinx parameter

Fix deprecated `autodoc_default_flags` to `autodoc_default_options`

* ✏️ Adding `autodoc_default_flags` in to support early Sphinx versions

Add `autodoc_default_flags` with parameters from
  `autodoc_default_options`

* fix metric alias

* fix format

* updated docs

* simplify alias in objective function

* move the alias parsing to config.cpp

* updated docs

* fix multi-class aliases

* updated regression aliases in docs

* fixed trailing space

* removed temp fix for conda

* fixed conda activation before any conda command

* add weight in tree model output

* fix bug

* updated Python plotting part to handle weights

* throw error when meet non ascii

* check ascii for config strings.

* added CODEOWNERS (fixes #2194)

* revisions to CODEOWNERS

* more general wildcard in CODEOWNERS

* fix init_model with subset

* Update basic.py

* added test

* fix predictor naming issue

* Update basic.py

* fix bug

* fix pylint

* fix comments

* Update basic.py

* Update basic.py

* updated test

* fixed bug

* fixed lint

* fix warning

* add get_data before initial prediction

* refine the warning in get_data

* refine warning

* Update basic.py

* add test

* fix a index bug

* Add parameter max_bin_by_feature.

* Fix minor bug.

* Fix minor bug.

* Fix calculation of header size for writing binary file.

* Fix style issues.

* Fix python style issue.

* Fix test and python style issue.

* Update .appveyor.yml

* Update .vsts-ci.yml

* Update setup.sh

* Update test.py

* Update test_consistency.py

* Update test_basic.py

* Update test_sklearn.py

* Update test_sklearn.py

* Update test_engine.py

* more replacements

* add balanced bagging

* refine code

* fix format

* clarify usage only for binary application

* add "download" badge

* Update README.rst

* Update README.md

* replaced issue badge with releases downloads badge

* Update README.md

* mojave install r openmp fix

* if not gcc/g++ env

* add comment

* fix

* consider max_depth for histogram_pool_size

* Update serial_tree_learner.cpp

* Update config.cpp

* Update serial_tree_learner.cpp

* fixed class_weight

* fixed lint

* added test

* hotfix

* Update sklearn.py

* Update parameter_generator.py

Replace "Traninig" with "Training"