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This repository was archived by the owner on Aug 12, 2020. It is now read-only.
This is meant to be a list of functionality we want to implement (a roadmap?) - I have refrained from including more sophisticated methods, limiting to what I believe to be a set of "core" routines we should absolutely offer.
For each piece of functionality I'd like to document what is already available in the Rust ecosystem.
This is meant to be a WIP list, so feel free to chip in @jblondin and edit/add things I might have missed.
Dimensionality reduction:
Principal Component Analysis (PCA)
Singular Value Decomposition (SVD)
Independent component analysis (ICA)
Non-negative matrix factorization (NMF)
Scaling:
Standard scaling (zero mean and unit variance)
Range scaling (specify min and max)
Encoding:
One hot encoding
Ordinal encoding
Discretization of continuous variables
Missing values:
Naive imputation (constant value or using common statistics)