GitLab

* updated default value for precision in plot_importance function

* fixed typo

* updated example notebook

* keep consistent state for Dataset fields

* hotfix

* Some basic changes to the plot of the trees to make them readable.

* Squeezed the information in the nodes.

* Added colouring when a dictionnary mapping the features to the constraints is passed.

* Fix spaces.

* Added data percentage as an option in the nodes.

* Squeezed the information in the leaves.

* Important information is now in bold.

* Added a legend for the color of monotone splits.

* Changed "split_gain" to "gain" and "internal_value" to "value".

* Sqeezed leaves a bit more.

* Changed description in the legend.

* Revert "Sqeezed leaves a bit more."

This reverts commit dd8bf14a3ba604b0dfae3b7bb1c64b6784d15e03.

* Increased the readability for the gain.

* Tidied up the legend.

* Added the data percentage in the leaves.

* Added the monotone constraints to the dumped model.

* Monotone constraints are now specified automatically when plotting trees.

* Raise an exception instead of the bug that was here before.

* Removed operators on the branches for a clearer design.

* Small cleaning of the code.

* Setting a monotone constraint on a categorical feature now returns an exception instead of doing nothing.

* Fix bug when monotone constraints are empty.

* Fix another bug when monotone constraints are empty.

* Variable name change.

* Added is / isn't on every edge of the trees.

* Fix test "tree_create_digraph".

* Add new test for plotting trees with monotone constraints.

* Typo.

* Update documentation of categorical features.

* Typo.

* Information in nodes more explicit.

* Used regular strings instead of raw strings.

* Small refactoring.

* Some cleaning.

* Added future statement.

* Changed output for consistency.

* Updated documentation.

* Added comments for colors.

* Changed text on edges for more clarity.

* Small refactoring.

* Modified text in leaves for consistency with nodes.

* Updated default values and documentaton for consistency.

* Replaced CHECK with Log::Fatal for user-friendliness.

* Updated tests.

* Typo.

* Simplify imports.

* Swapped count and weight to improve readibility of the leaves in the plotted trees.

* Thresholds in bold.

* Made information in nodes written in a specific order.

* Added information to clarify legend.

* Code cleaning.

* allow usage and compilation of 32-bit library

* added docs

* 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

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'`.

* 📝 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`

* add weight in tree model output

* fix bug

* updated Python plotting part to handle weights

* 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 "download" badge

* Update README.rst

* Update README.md

* replaced issue badge with releases downloads badge

* Update README.md

* fixed class_weight

* fixed lint

* added test

* hotfix

* Update sklearn.py

* Update parameter_generator.py

Replace "Traninig" with "Training"

[python] fixed picklability of sklearn models with custom obj and updated docstings for custom obj (#2191)

* refactored joblib test

* fixed picklability of sklearn models with custom obj and updated docstings for custom obj

* pickled model should be able to predict without refitting

* PR #1879

* Update docs with parameter_generator.py

* Update wrapper doc for sklearn

* added ability to pass first_metric_only in params

* simplified tests

* fixed test

* fixed punctuation

* fix travis badge

* updated GitHub Microsoft URL

* added plot_split_value_histogram function

* updated init module

* added plot split value histogram example

* added plot_split_value_histogram to notebook

* added test

* fixed pylint

* updated API docs

* fixed grammar

* set y ticks to int value in more sufficient way

* updated installation guide

* updated Python installation guide

* added note about opencl path to Windows section

* added space before path in message

* minor correction for option description in Python installation guide

* set platform via A option

* style hotfix

* updated R installation script

* updated Python installation script

* updated CI test script

* provide VS version-ingependent link for redistributables download

* added link to VS 2019 redistributables

* added VS 2019 match for Boost binaries

* disable default pandas cat features if cat features were explicitly provided

* added assertion for cat features

* ignore pandas ordered categorical columns by default

* fix tests

* fix tests

* added comments

* Update doc string for pred_contrib

See comments at the end of #1969

* Update basic.py

* Update basic.py

* update doc strings

* update equals sign in doc string

* strip whitespace and gen rst

* strip whitespace

* [python] displaying train loss during training with lgb.cv

* modifying only display running type when disp_train_loss==True

* Add test for display train loss

* del .idea files

* Rename disp_train_loss to show_train_loss and revise comment.

* Change aug name show_train_loss -> eval_train_metric , and add a test item.

* Modifying comment of eval_train_metric.

* updated HDFS guide

* updated guide

* no info about Clang

* pass paths in quotes

* Update README.rst

* fixed Python intro

* fixed typos

* scikit-learn added support of https

* Use first_metric_only flag for early_stopping function.

In order to apply early stopping with only first metric, applying first_metric_only flag for early_stopping function.

* upcate comment

* Revert "upcate comment"

This reverts commit 1e75a1a415cc16cfbe795181e148ebfe91469be4.

* added test

* fixed docstring

* cut comment and save one line

* document new feature