datarust 0.6.0

Scikit-learn-style preprocessing and classical ML in Rust
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 = "2021"
rust-version = "1.70"
name = "datarust"
version = "0.6.0"
build = false
exclude = [
    "/.github",
    "/benches",
]
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Scikit-learn-style preprocessing and classical ML in Rust"
homepage = "https://genc-murat.github.io/datarust/"
readme = "README.md"
keywords = [
    "machine-learning",
    "scikit-learn",
    "preprocessing",
    "regression",
    "linear-model",
]
categories = [
    "science",
    "mathematics",
    "algorithms",
]
license = "MIT"
repository = "https://github.com/genc-murat/datarust"

[package.metadata.docs.rs]
features = [
    "serde",
    "rayon",
    "matrixmultiply",
]
rustdoc-args = [
    "--cfg",
    "docsrs",
]

[features]
default = []
matrixmultiply = ["dep:matrixmultiply"]
rayon = ["dep:rayon"]
serde = [
    "dep:serde",
    "dep:serde_json",
]

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

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

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

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

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

[[example]]
name = "model_persistence"
path = "examples/model_persistence.rs"
required-features = ["serde"]

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

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

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

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

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

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

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

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

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

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

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

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

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

[dependencies.matrixmultiply]
version = "0.3"
optional = true

[dependencies.rayon]
version = "1"
optional = true

[dependencies.serde]
version = "1"
features = ["derive"]
optional = true

[dependencies.serde_json]
version = "1"
optional = true

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

[dev-dependencies.proptest]
version = "1"