Machine Learning
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LightGBM
Quick Definition
Fast gradient boosting framework using histogram splitting
Full Definition
A gradient boosting framework using histogram-based splitting for fast training on large datasets.
Examples
large-scale ML, low-memory training, ranking tasks
Related Terms
xgboost
gradient-boosting
catboost
More Machine Learning Terms
Supervised Learning
Learning from labeled training data with input-output pairs
Margin
Distance between decision boundary and nearest data points
Dimensionality Reduction
Reducing feature count while preserving important information
Cross-Validation
Evaluating model performance with multiple data splits
Ensemble Learning
Combining multiple models for better predictions
A/B Testing
Statistical method comparing two versions for performance