Unverified Commit 5083df15 authored by James Lamb's avatar James Lamb Committed by GitHub
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[docs] remove links to Laurae++ site (#6193)

parent 848e76c3
......@@ -41,7 +41,6 @@ Next you may want to read:
- [**Features**](https://github.com/microsoft/LightGBM/blob/master/docs/Features.rst) and algorithms supported by LightGBM.
- [**Parameters**](https://github.com/microsoft/LightGBM/blob/master/docs/Parameters.rst) is an exhaustive list of customization you can make.
- [**Distributed Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/Parallel-Learning-Guide.rst) and [**GPU Learning**](https://github.com/microsoft/LightGBM/blob/master/docs/GPU-Tutorial.rst) can speed up computation.
- [**Laurae++ interactive documentation**](https://sites.google.com/view/lauraepp/parameters) is a detailed guide for hyperparameters.
- [**FLAML**](https://www.microsoft.com/en-us/research/project/fast-and-lightweight-automl-for-large-scale-data/articles/flaml-a-fast-and-lightweight-automl-library/) provides automated tuning for LightGBM ([code examples](https://microsoft.github.io/FLAML/docs/Examples/AutoML-for-LightGBM/)).
- [**Optuna Hyperparameter Tuner**](https://medium.com/optuna/lightgbm-tuner-new-optuna-integration-for-hyperparameter-optimization-8b7095e99258) provides automated tuning for LightGBM hyperparameters ([code examples](https://github.com/optuna/optuna-examples/blob/main/lightgbm/lightgbm_tuner_simple.py)).
- [**Understanding LightGBM Parameters (and How to Tune Them using Neptune)**](https://neptune.ai/blog/lightgbm-parameters-guide).
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......@@ -62,7 +62,7 @@ General LightGBM Questions
1. Where do I find more details about LightGBM parameters?
----------------------------------------------------------
Take a look at `Parameters <./Parameters.rst>`__ and the `Laurae++/Parameters <https://sites.google.com/view/lauraepp/parameters>`__ website.
Take a look at `Parameters <./Parameters.rst>`__.
2. On datasets with millions of features, training does not start (or starts after a very long time).
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......@@ -14,10 +14,6 @@ This page contains descriptions of all parameters in LightGBM.
- `Parameters Tuning <./Parameters-Tuning.rst>`__
**External Links**
- `Laurae++ Interactive Documentation`_
Parameters Format
-----------------
......@@ -1380,5 +1376,3 @@ If the name of data file is ``train.txt``, the query file should be named as ``t
In this case, LightGBM will load the query file automatically if it exists.
Also, you can include query/group id column in your data file. Please refer to the ``group_column`` `parameter <#group_column>`__ in above.
.. _Laurae++ Interactive Documentation: https://sites.google.com/view/lauraepp/parameters
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