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Local Regression vs Kernel Density
How do Local Regression and Kernel Density compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Local Regression | Kernel Density |
|---|---|---|
| What it is | Loess.jl is a Julia implementation of local regression using a fast kd-tree-based approximation. | KernelDensity.jl provides kernel density estimators for Julia, including univariate density estimation. |
| 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 |
Other options to consider
Sites similar to both Local Regression and Kernel Density.
DataDeps.jl provides reproducible data setup for scientific work, with a Julia package for fetching and using data dependencies.
GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
TextAnalysis.jl is a Julia package for text and language data, with tools such as corpora, TF-IDF, and topic models.
MultivariateStats.jl provides Julia tools for multivariate statistics and data analysis, including dimension reduction.
GaussianMixtures.jl is a Julia package for working with Gaussian mixture models.







