Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
Open source
24 alternativesHow do imbalanced-learn and Microsoft ML for Apache Spark compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | imbalanced-learn | Microsoft ML for Apache Spark |
|---|---|---|
| What it is | The imbalanced-learn documentation explains tools for learning from imbalanced datasets in Python. | SynapseML provides distributed machine learning algorithms for Spark through its Python library. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both imbalanced-learn and Microsoft ML for Apache Spark.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
AstroML provides Python tools for machine learning and data mining in astronomy.