An open-source Boostexter implementation. #Boostexter implementation #Adaptive Boosting #Machine Learning #Boostexter #Implement #Implementation
Boosting is a meta-learning approach that puts together an ensemble of weak classifiers in order to form a strong classifier.
Adaptive Boosting (Adaboost) is a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values).
icsiboost is a free and open-source implementation that allows for training from millions of examples by hundreds of features (or millions of sparse features) in a reasonable time/memory.
icsiboost provides a classification time code for c, python and java.
Detailed instructions on how to install and use the icsiboost utility on your Mac are available HERE.
icsiboost is cross-platform and it works on Mac OS X, Windows and Linux. Binaries for the Windows and Linux platforms are available on the project's homepage.
icsiboost R 176
add to watchlist add to download basket send us an update REPORT- runs on:
- Mac OS X (-)
- file size:
- 51 KB
- filename:
- icsiboost.macosx10.6.gz
- main category:
- Math/Scientific
- developer:
- visit homepage
ShareX
4k Video Downloader
7-Zip
IrfanView
Microsoft Teams
Zoom Client
Bitdefender Antivirus Free
calibre
Context Menu Manager
Windows Sandbox Launcher
- calibre
- Context Menu Manager
- Windows Sandbox Launcher
- ShareX
- 4k Video Downloader
- 7-Zip
- IrfanView
- Microsoft Teams
- Zoom Client
- Bitdefender Antivirus Free