分布式決策樹集成學習框架:Brushfire
Brushfire是一個框架用于決策樹集成模型的分布式監督學習。</span> Brushfire 當前支持:
- binary and multi-class classifiers
- numeric features (discrete and continuous)
- categorical features (including those with very high cardinality)
- k-fold cross validation and random forests
- chi-squared test as a measure of split quality
- feature importance and brier scores
- Scalding/Hadoop as a distributed computing platform </ul>
- regression trees
- CHAID-like multi-way splits
- error-based pruning
- many more ways to evaluate splits and trees
- Spark and single-node in-memory platforms
將來打算支持
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