[package]
edition = "2024"
name = "frlearn_preprocess"
version = "0.1.0"
authors = ["Nitish Das"]
build = false
exclude = [
"target/**",
"**/*.tmp",
"**/*.log",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Preprocessing models (for example range normalization) for FuzzyRough."
readme = "README.md"
keywords = [
"fuzzy",
"preprocessing",
"normalization",
"machine-learning",
]
categories = [
"algorithms",
"science",
]
license = "MIT"
repository = "https://github.com/nitishdas99-star/FuzzyRough"
resolver = "2"
[lib]
name = "frlearn_preprocess"
path = "src/lib.rs"
[[test]]
name = "python_fixtures"
path = "tests/python_fixtures.rs"
[[test]]
name = "range_normaliser"
path = "tests/range_normaliser.rs"
[dependencies.frlearn_core]
version = "=0.1.0"
[dependencies.frlearn_math]
version = "=0.1.0"
[dependencies.ndarray]
version = "0.16.1"
[dev-dependencies.approx]
version = "0.5.1"
[dev-dependencies.serde_json]
version = "1.0"