Difference between revisions of "LightGBM"
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* [http://en.wikipedia.org/wiki/Boosting_(machine_learning) Boosting | Wikipedia] | * [http://en.wikipedia.org/wiki/Boosting_(machine_learning) Boosting | Wikipedia] | ||
* [http://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/boosted-decision-tree-regression Boosted Decision Tree Regression | Microsoft] | * [http://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/boosted-decision-tree-regression Boosted Decision Tree Regression | Microsoft] | ||
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| + | Microsoft's gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient by using histogram-based algorithms, which bucket continuous feature (attribute) values into discrete bins. This speeds up training and reduces memory usage. | ||
| − | + | <youtube>OQHlmscvkRI</youtube> | |
| − | + | <youtube>V5158Oug4W8</youtube> | |
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Revision as of 12:01, 17 August 2020
YouTube search... ...Google search
- AI Solver
- Capabilities
- Gradient Boosting Machine (GBM)
- Multiclassifiers; Ensembles and Hybrids; Bagging, Boosting, and Stacking
- (Boosted) Decision Tree
- Boosted Random Forest
- Boosting | Wikipedia
- Boosted Decision Tree Regression | Microsoft
Microsoft's gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient by using histogram-based algorithms, which bucket continuous feature (attribute) values into discrete bins. This speeds up training and reduces memory usage.
