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
Data Augmentation
Artificially increasing training data through modified copies
Feature Selection
Identifying the most relevant features for model training
Decision Tree
Tree-like model splitting data based on feature values
Autoencoder
Neural network learning compressed data representations
Lasso Regression
Regularized regression using L1 penalty for feature selection
Bayesian Optimization
Optimizing expensive functions using a probabilistic model