Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Open source
24 alternativesHow do GLM and mlxtend compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | GLM | mlxtend |
|---|---|---|
| What it is | GLM.jl provides generalized linear models in Julia, with documentation and examples for the package. | mlxtend adds helper modules for Python data analysis and machine learning libraries. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both GLM and mlxtend.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
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SynapseML provides distributed machine learning algorithms for Spark through its Python library.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.