TPOT uses genetic programming to optimize machine learning pipelines in Python.
Open source
24 alternativesHow do climin and MLRun compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | climin | MLRun |
|---|---|---|
| What it is | The climin package provides optimization methods focused on machine learning scenarios in Python. | MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery. |
| 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 climin and MLRun.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
FLAML provides a fast Python library for automated machine learning and tuning.
FlexML offers an easy to use and flexible automated machine learning library for Python.
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.
The Datumbox framework is written in Java for developing machine learning and statistical applications.