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
Learning Rate
Hyperparameter controlling gradient descent step size
Confusion Matrix
Table visualizing classifier performance by class predictions
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
Data Augmentation
Artificially increasing training data through modified copies
Ensemble Learning
Combining multiple models for better predictions
Autoencoder
Neural network learning compressed data representations