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Release version 0.7.1 (#369)
* Update changelog * Add news entry * Bump to version 0.7.1 * Add MSRV info * Pin sprs 0.11.1 to avoid several ndarray versions * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * cargo release version 0.7.1 * Add "more" directive in release pages * Add code snippet for random projection
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‎CHANGELOG.md‎

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Version 0.7.1 - 2025-01-14
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==========================
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New Algorithms
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--------------
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* Random Projection added to `linfa-reduction` by [@GBathie]
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Changes
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-------
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* add `serde` support to `linfa-clustering`
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* add accessors for classes in `linfa-logistics`
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* add accessors for `Pca` attributes in `linfa-reduction`
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* add `wasm-bindgen`feature to use linfa in the browser
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* fix covariance update for `GaussianMixtureModel` in `linfa-clustering`
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* bump `ndarray-linalg` to 0.16 and `argmin` to 0.9.0
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* bump MSRV to 1.71.1
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Version 0.7.0 - 2023-10-15
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========================
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==========================
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Changes
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-----------
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* add `array_from_gz_csv` and `array_from_csv` in `linfa-datasets`
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Version 0.1.2 (2019-11-25)
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===========================
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New algorithms
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------------
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New algorithms
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--------------
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- First release of `linfa-clustering:v0.1.0` with the `KMeans` algorithm (by [@LukeMathWalker])
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- First (real) release of `linfa`, re-exporting `linfa-clustering` (by [@LukeMathWalker])

‎Cargo.toml‎

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[package]
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name = "linfa"
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version = "0.7.0"
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version = "0.7.1"
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authors = [
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"Luca Palmieri <[email protected]>",
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"Lorenz Schmidt <[email protected]>",
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ndarray = { version = "0.15", features = ["approx"] }
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ndarray-linalg = { version = "0.16", optional = true }
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sprs = { version = "0.11", default-features = false }
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sprs = { version = "=0.11.1", default-features = false }
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thiserror = "1.0"
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‎algorithms/linfa-bayes/Cargo.toml‎

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[package]
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name = "linfa-bayes"
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version = "0.7.0"
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version = "0.7.1"
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authors = ["VasanthakumarV <[email protected]>"]
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description = "Collection of Naive Bayes Algorithms"
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edition = "2018"
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ndarray-stats = "0.5"
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thiserror = "1.0"
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linfa = { version = "0.7.0", path = "../.." }
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linfa = { version = "0.7.1", path = "../.." }
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[dev-dependencies]
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approx = "0.4"
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["winequality"] }
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = ["winequality"] }

‎algorithms/linfa-clustering/Cargo.toml‎

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[package]
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name = "linfa-clustering"
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version = "0.7.0"
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version = "0.7.1"
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edition = "2018"
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authors = [
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"Luca Palmieri <[email protected]>",
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space = "0.12"
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thiserror = "1.0"
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#partitions = "0.2.4" This one will break in a future version of Rust and has no replacement
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linfa = { version = "0.7.0", path = "../.." }
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linfa-nn = { version = "0.7.0", path = "../linfa-nn" }
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linfa = { version = "0.7.1", path = "../.." }
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linfa-nn = { version = "0.7.1", path = "../linfa-nn" }
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noisy_float = "0.2.0"
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[dev-dependencies]
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ndarray-npy = { version = "0.8", default-features = false }
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = [
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"generate",
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] }
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criterion = "0.4.0"
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serde_json = "1"
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approx = "0.4"
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lax = "0.15.0"
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linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
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linfa = { version = "0.7.1", path = "../..", features = ["benchmarks"] }
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[[bench]]
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name = "k_means"

‎algorithms/linfa-elasticnet/Cargo.toml‎

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[package]
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name = "linfa-elasticnet"
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version = "0.7.0"
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version = "0.7.1"
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authors = [
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"Paul Körbitz / Google <[email protected]>",
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"Lorenz Schmidt <[email protected]>",
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linfa = { version = "0.7.0", path = "../.." }
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linfa = { version = "0.7.1", path = "../.." }
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[dev-dependencies]
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = [
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"diabetes",
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"linnerud",
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] }

‎algorithms/linfa-ftrl/Cargo.toml‎

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name = "linfa-ftrl"
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version = "0.7.0"
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version = "0.7.1"
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authors = ["Liudmyla Kyrashchuk <[email protected]>"]
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description = "A Machine Learning framework for Rust"
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rand = "0.8.5"
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rand_xoshiro = "0.6.0"
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linfa = { version = "0.7.0", path = "../.." }
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linfa = { version = "0.7.1", path = "../.." }
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criterion = "0.4.0"
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approx = "0.4"
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = [
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"winequality",
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linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
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linfa = { version = "0.7.1", path = "../..", features = ["benchmarks"] }
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[[bench]]
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name = "ftrl"

‎algorithms/linfa-hierarchical/Cargo.toml‎

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name = "linfa-hierarchical"
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version = "0.7.0"
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version = "0.7.1"
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authors = ["Lorenz Schmidt <[email protected]>"]
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edition = "2018"
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kodama = "0.2"
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linfa = { version = "0.7.0", path = "../.." }
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linfa-kernel = { version = "0.7.0", path = "../linfa-kernel" }
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linfa = { version = "0.7.1", path = "../.." }
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linfa-kernel = { version = "0.7.1", path = "../linfa-kernel" }
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rand = "0.8"
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ndarray-rand = "0.14"
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["iris"] }
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = ["iris"] }

‎algorithms/linfa-ica/Cargo.toml‎

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name = "linfa-ica"
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version = "0.7.1"
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authors = ["VasanthakumarV <[email protected]>"]
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description = "A collection of Independent Component Analysis (ICA) algorithms"
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linfa = { version = "0.7.0", path = "../.." }
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linfa = { version = "0.7.1", path = "../.." }
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linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
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linfa = { version = "0.7.1", path = "../..", features = ["benchmarks"] }
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name = "fast_ica"

‎algorithms/linfa-kernel/Cargo.toml‎

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name = "linfa-kernel"
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version = "0.7.0"
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version = "0.7.1"
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authors = ["Lorenz Schmidt <[email protected]>"]
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description = "Kernel methods for non-linear algorithms"
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edition = "2018"
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linfa = { version = "0.7.0", path = "../.." }
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linfa-nn = { version = "0.7.0", path = "../linfa-nn" }
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linfa = { version = "0.7.1", path = "../.." }
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linfa-nn = { version = "0.7.1", path = "../linfa-nn" }

‎algorithms/linfa-linear/Cargo.toml‎

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name = "linfa-linear"
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version = "0.7.1"
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authors = [
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"Paul Körbitz / Google <[email protected]>",
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"VasanthakumarV <[email protected]>",
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linfa = { version = "0.7.0", path = "../.." }
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linfa = { version = "0.7.1", path = "../.." }
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linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
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linfa-datasets = { version = "0.7.1", path = "../../datasets", features = [
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"diabetes",
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approx = "0.4"
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criterion = "0.4.0"
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statrs = "0.16.0"
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linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
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linfa = { version = "0.7.1", path = "../..", features = ["benchmarks"] }
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[[bench]]
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name = "ols_bench"

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