matten-mlprep 0.20.13

Small, transparent, deterministic preprocessing helpers for matten::Tensor (no ML framework).
Documentation
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[package]
edition = "2024"
rust-version = "1.85"
name = "matten-mlprep"
version = "0.20.13"
authors = ["nabbisen"]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Small, transparent, deterministic preprocessing helpers for matten::Tensor (no ML framework)."
readme = "README.md"
keywords = [
    "tensor",
    "preprocessing",
    "standardize",
    "matten",
    "ml",
]
categories = [
    "science",
    "mathematics",
]
license = "Apache-2.0"
repository = "https://github.com/nabbisen/matten"

[features]
dynamic = ["matten/dynamic"]

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

[[example]]
name = "mlprep_add_bias_column"
path = "examples/add_bias_column.rs"

[[example]]
name = "mlprep_minmax_scale"
path = "examples/minmax_scale.rs"

[[example]]
name = "mlprep_standardize_columns"
path = "examples/standardize_columns.rs"

[[example]]
name = "mlprep_train_test_split"
path = "examples/train_test_split.rs"

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

[dependencies.matten]
version = "0.20"
default-features = false