millwright 2.3.1

A unified ML framework for Rust — proven Rust crates, assembled into one machine.
Documentation

millwright

There is currently very little information to present on this page because Docs.rs has only limited support for extracting structured feature metadata from Cargo crates. This issue is tracked in Rust RFC #3416. Check this library's main docs, readme, and Cargo.toml in case its authors have documentation for features available there instead.

This version has 24 feature flags, 4 of them enabled by default.

default

ensemble (default)

model-selection (default)

preprocessing (default)

smartcore-backend (default)

anomaly

This feature flag does not enable additional features.

automl

calibration

This feature flag does not enable additional features.

diagnostics

eda

explain

full

gpu-compute

gpu-cuda

gpu-inference

hpo

incremental

linfa-backend

monitor

onnx

python

registry

serve

timeseries

viz