Description:

Companion software to forthcoming book, From Linear Models to Machine Learning: Modern Statistical Regression and Classification, N. Matloff, CRC Press, but the package can be used independent of the book. Tools for fitting linear, nonlinear and nonparametric models. Novel use of graphics. One-vs.-all and all-vs.-all classification. Available Cases method for missing values. Various tools for k-nearest neighbor methods.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: Agnostic

Tags: Classification, Regression, Nearest Neighbor

Archive: download here

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