frlearn_descriptors 0.1.0

Descriptor and novelty-scoring models for fuzzy-rough workflows.
Documentation 
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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
name = "frlearn_descriptors"
version = "0.1.0"
authors = ["Nitish Das"]
build = false
exclude = [
    "target/**",
    "**/*.tmp",
    "**/*.log",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Descriptor and novelty-scoring models for fuzzy-rough workflows."
readme = "README.md"
keywords = [
    "anomaly-detection",
    "novelty",
    "fuzzy",
    "rough-sets",
]
categories = [
    "algorithms",
    "science",
]
license = "MIT"
repository = "https://github.com/nitishdas99-star/FuzzyRough"
resolver = "2"

[features]
default = []
eif = []
sae = []
svm = []

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

[[test]]
name = "nnd"
path = "tests/nnd.rs"

[dependencies.frlearn_core]
version = "=0.1.0"

[dependencies.frlearn_math]
version = "=0.1.0"

[dependencies.frlearn_neighbor]
version = "=0.1.0"

[dependencies.frlearn_preprocess]
version = "=0.1.0"

[dependencies.ndarray]
version = "0.16.1"

[dev-dependencies.approx]
version = "0.5.1"