Properties (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:application |
healthcare
image processing finance marketing e-commerce natural language processing |
| gptkbp:communitySupport |
tutorials
documentation open source GitHub repository user forums |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:features |
efficient memory usage
distributed learning support for large datasets parallel learning tree-based learning |
| gptkbp:hasVersion |
v3.3.2
|
| https://www.w3.org/2000/01/rdf-schema#label |
LightGBM
|
| gptkbp:keyIssues |
learning_rate
max_depth num_leaves bagging_fraction bagging_freq feature_fraction lambda_l2 min_data_in_leaf lambda_l1 min_gain_to_split |
| gptkbp:language |
gptkb:C++
|
| gptkbp:languageSpoken |
gptkb:Java
C# Python Scala R |
| gptkbp:license |
MIT License
|
| gptkbp:notableEvent |
boosting
|
| gptkbp:performance |
high accuracy
low memory usage fast training speed |
| gptkbp:platforms |
Linux
Windows macOS |
| gptkbp:powerOutput |
CSV
binary predictions probabilities libsvm |
| gptkbp:relatedTo |
Decision Trees
Neural Networks XGBoost CatBoost Random_Forest |
| gptkbp:releaseDate |
2017
|
| gptkbp:supports |
gradient boosting
|
| gptkbp:usedFor |
classification
regression ranking |