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[package]
name = "random-world"
version = "0.3.0"
authors = ["Giovanni Cherubin <g.chers@gmail.com>"]
exclude = ["examples/*"]
description = "Implementation of Machine Learning methods for confident prediction (e.g., Conformal Predictors) and related ones introduced in the book Algorithmic Learning in a Random World (ALRW)"
license = "MIT"
repository = "https://github.com/gchers/random-world"
[dependencies.approx]
version = "0.1.1"

[dependencies.csv]
version = "1.0.0-beta.5"

[dependencies.docopt]
version = "0.8"

[dependencies.itertools]
version = "0.6.2"

[dependencies.lazysort]
version = "0.2.0"

[dependencies.ndarray]
version = "0.10.0"

[dependencies.ordered-float]
version = "0.5.0"

[dependencies.pcg_rand]
version = "0.7.0"

[dependencies.quadrature]
version = "0.1.2"

[dependencies.rand]
version = "0.3"

[dependencies.rusty-machine]
version = "0.5.4"

[dependencies.serde]
version = "1.0"

[dependencies.serde_derive]
version = "1.0"

[dependencies.statrs]
version = "0.9.0"