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| LightGBM | |
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| `LightGBM <https://lightgbm.readthedocs.io/en/latest/>`__ is a popular and efficient open-source implementation of the Gradient Boosting | |
| Decision Tree (GBDT) algorithm. GBDT is a supervised learning algorithm that attempts to accurately predict a target variable by | |
| combining an ensemble of estimates from a set of simpler and weaker models. LightGBM uses additional techniques to significantly improve | |
| the efficiency and scalability of conventional GBDT. | |
| The following table outlines a variety of sample notebooks that address different use cases of Amazon SageMaker LightGBM algorithm. | |
| .. list-table:: | |
| :widths: 25 25 | |
| :header-rows: 1 | |
| * - Notebook Title | |
| - Description | |
| * - `Tabular classification with Amazon SageMaker LightGBM and CatBoost algorithm <https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Classification_LightGBM_CatBoost.ipynb>`__ | |
| - This notebook demonstrates the use of the Amazon SageMaker LightGBM algorithm to train and host a tabular classification model. | |
| * - `Tabular regression with Amazon SageMaker LightGBM and CatBoost algorithm <https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/lightgbm_catboost_tabular/Amazon_Tabular_Regression_LightGBM_CatBoost.ipynb>`__ | |
| - This notebook demonstrates the use of the Amazon SageMaker LightGBM algorithm to train and host a tabular regression model. | |
| For instructions on how to create and access Jupyter notebook instances that you can use to run the example in SageMaker, see | |
| `Use Amazon SageMaker Notebook Instances <https://docs.aws.amazon.com/sagemaker/latest/dg/nbi.html>`__. After you have created a notebook | |
| instance and opened it, choose the SageMaker Examples tab to see a list of all of the SageMaker samples. To open a notebook, choose its | |
| Use tab and choose Create copy. | |
| For detailed documentation, please refer to the `Sagemaker LightGBM Algorithm <https://docs.aws.amazon.com/sagemaker/latest/dg/lightgbm.html>`__. | |