The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
Open source
24 alternativesHow do DVClive and InterpretML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | DVClive | InterpretML |
|---|---|---|
| What it is | DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC. | InterpretML fits interpretable models and explains results from black-box machine learning systems. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both DVClive and InterpretML.
The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.
A Python package to assess and improve fairness of machine learning models.
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Python package which helps to debug machine learning classifiers and explain their predictions.