LightGBM
ml_framework
Overview
Developed byMicrosoft
LicenseMIT License
Open source✓ Open Source
Use casegradient boosting framework
Integrates with
Knowledge graph stats
Claims26
Avg confidence96%
Avg freshness100%
Last updatedUpdated 12h ago
WikidataQ57267665
Trust distribution
100% unverified
Governance
Not assessed
LightGBM
product
Microsoft fast gradient boosting framework using tree-based learning algorithms
Compare with...based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| gradient boosting | ○Unverified | High | Fresh | 1 |
| decision trees | ○Unverified | High | Fresh | 1 |
| gradient boosting decision trees | ○Unverified | High | Fresh | 1 |
pricing model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| free | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Python | ○Unverified | High | Fresh | 1 |
| Pandas | ○Unverified | High | Fresh | 1 |
| R | ○Unverified | High | Fresh | 1 |
| scikit-learn | ○Unverified | High | Fresh | 1 |
| Jupyter Notebook | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| gradient boosting framework | ○Unverified | High | Fresh | 1 |
| fast gradient boosting for large-scale tabular data | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| regression | ○Unverified | High | Fresh | 1 |
| binary classification | ○Unverified | High | Fresh | 1 |
| multiclass classification | ○Unverified | High | Fresh | 1 |
license type
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MIT License | ○Unverified | High | Fresh | 1 |
| MIT | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| XGBoost | ○Unverified | High | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | High | Fresh | 1 |
developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Microsoft | ○Unverified | High | Fresh | 1 |
maintained by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Microsoft | ○Unverified | High | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| XGBoost | ○Unverified | High | Fresh | 1 |
| CatBoost | ○Unverified | High | Fresh | 1 |
api compatible with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| scikit-learn | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| C++ compiler | ○Unverified | Moderate | Fresh | 1 |
supports protocol
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| JSON | ○Unverified | Moderate | Fresh | 1 |