rkhs 0.1.0

Reproducing Kernel Hilbert Space: kernels, MMD, and Dense Associative Memory (LSE/LSR energy)
Documentation 
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[[bench]]
harness = false
name = "gram_scaling"
path = "benches/gram_scaling.rs"

[[bench]]
harness = false
name = "linalg_shootout"
path = "benches/linalg_shootout.rs"

[dependencies.innr]
optional = true
version = "0.1.0"

[dependencies.ndarray]
version = "0.16"

[dependencies.rand]
version = "0.9"

[dependencies.rand_distr]
version = "0.5"

[dependencies.thiserror]
version = "2.0"

[dev-dependencies.criterion]
features = ["html_reports"]
version = "0.5"

[dev-dependencies.faer]
version = "0.19"

[dev-dependencies.proptest]
version = "1.5"

[[example]]
name = "associative_memory"
path = "examples/associative_memory.rs"

[[example]]
name = "clam_clustering"
path = "examples/clam_clustering.rs"

[features]
clam = []
default = []
simd = ["innr"]

[lib]
name = "rkhs"
path = "src/lib.rs"

[package]
authors = ["Arc <attobop@gmail.com>"]
autobenches = false
autobins = false
autoexamples = false
autolib = false
autotests = false
build = false
categories = ["algorithms", "science", "mathematics"]
description = "Reproducing Kernel Hilbert Space: kernels, MMD, and Dense Associative Memory (LSE/LSR energy)"
documentation = "https://docs.rs/rkhs"
edition = "2021"
homepage = "https://github.com/arclabs561/rkhs"
keywords = ["kernel", "mmd", "rkhs", "associative-memory", "machine-learning"]
license = "MIT OR Apache-2.0"
name = "rkhs"
readme = "README.md"
repository = "https://github.com/arclabs561/rkhs"
version = "0.1.0"