datarust 0.6.1

Scikit-learn-style preprocessing and classical ML in Rust
Documentation
# Summary

[Introduction](./README.md)

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# Getting Started

- [Quick Start]./quickstart.md
- [Installation]./installation.md
- [Core Concepts]./concepts.md

# Module Guide

- [Scalers]./guide/scalers.md
- [Encoders]./guide/encoders.md
- [Imputers]./guide/imputers.md
- [Decomposition]./guide/decomposition.md
- [Linear Models]./guide/linear-models.md
- [Clustering]./guide/cluster.md
- [Metrics]./guide/metrics.md
- [Model Selection]./guide/model-selection.md
- [Compose: Pipeline & ColumnTransformer]./guide/compose.md
- [Datasets]./guide/datasets.md

# Reference

- [Performance vs scikit-learn]./performance.md
- [Feature Comparison]./comparison.md
- [Examples]./examples.md
- [Architecture]./architecture.md
- [Roadmap]./roadmap.md
- [Changelog]./changelog.md
- [API Docs (docs.rs)]./api.md