irithyll 8.2.2

Streaming machine learning in Rust -- gradient boosted trees, kernel methods, linear models, and composable pipelines
Documentation 
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[workspace]

members = [".", "irithyll-python", "irithyll-core"]



[package]

name = "irithyll"

version = "8.2.2"

edition = "2021"

rust-version = "1.75"

description = "Streaming machine learning in Rust -- gradient boosted trees, kernel methods, linear models, and composable pipelines"

license = "MIT OR Apache-2.0"

repository = "https://github.com/evilrat420/irithyll"

readme = "README.md"

documentation = "https://docs.rs/irithyll"

keywords = ["machine-learning", "gradient-boosting", "streaming", "online-learning", "decision-trees"]

categories = ["algorithms", "science"]

exclude = [".claude/", "irithyll-python/", "irithyll-core/", "irithyll-cli/", "marketing/"]



[dependencies]

parking_lot = "0.12"

tokio = { version = "1", features = ["rt", "sync", "macros"] }

futures-core = "0.3"

serde = { version = "1.0", features = ["derive"] }

serde_json = { version = "1.0", optional = true }

bincode = { version = "2", features = ["serde"], optional = true }

thiserror = "2.0"

tracing = "0.1"

irithyll-core = { path = "irithyll-core", version = "0.4.0", features = ["std"] }



# Optional acceleration dependencies (activated via feature flags)

rayon = { version = "1.10", optional = true }



# Arrow/Parquet ecosystem

arrow = { version = "54", optional = true, default-features = false, features = ["prettyprint"] }

parquet = { version = "54", optional = true, features = ["arrow"] }



# ONNX export

prost = { version = "0.13", optional = true }



[dev-dependencies]

proptest = "1.5"

approx = "0.5"

criterion = { version = "0.5", features = ["html_reports"] }

tokio = { version = "1", features = ["full"] }



[features]

default = ["serde-json"]

serde-json = ["dep:serde_json", "irithyll-core/serde"]

serde-bincode = ["dep:bincode", "irithyll-core/serde"]

kmeans-binning = []

simd = []

parallel = ["dep:rayon"]

arrow = ["dep:arrow"]

parquet = ["dep:parquet", "arrow"]

onnx = ["dep:prost"]

neural-leaves = []

full = ["serde-json", "serde-bincode", "kmeans-binning", "parallel", "arrow", "parquet", "onnx", "neural-leaves", "simd"]



[package.metadata.docs.rs]

all-features = true

rustdoc-args = ["--cfg", "docsrs"]



[[bench]]

name = "histogram_bench"

harness = false



[[bench]]

name = "tree_bench"

harness = false



[[bench]]

name = "ensemble_bench"

harness = false



[[bench]]

name = "parallel_bench"

harness = false



[[bench]]

name = "throughput_bench"

harness = false



[[bench]]

name = "scaling_bench"

harness = false



[[bench]]

name = "packed_inference_bench"

harness = false



[[bench]]

name = "training_bench"

harness = false



[[bench]]

name = "pipeline_bench"

harness = false



[[bench]]

name = "quantized_bench"

harness = false



[[bench]]

name = "comparison_bench"

harness = false



[[bench]]

name = "real_dataset_bench"

harness = false