Crate linfa_preprocessing[−][src]
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 |