Crate linfa_preprocessing

Preprocessing

The Big Picture

linfa-preprocessing is a crate in the linfa ecosystem, an effort to create a toolkit for classical Machine Learning implemented in pure Rust, akin to Python’s scikit-learn.

Current state

linfa-preprocessing provides a pure Rust implementation of:

• Standard scaling
• Min-max scaling
• Max Abs Scaling
• Normalization (l1, l2 and max norm)
• Count vectorization
• Term frequency - inverse document frequency count vectorization
• Whitening

Modules

count_vectorization	Count vectorization methods
error	Error definitions for preprocessing
linear_scaling	Linear Scaling methods
norm_scaling	Sample normalization methods
tf_idf_vectorization	Term frequency - inverse document frequency vectorization methods
whitening	Methods for uncorrelating data

Macros

column_for_word