Upgrade ndarray-linalg 0.16, argmin 0.9.0 (#331)

rust-ml · Jan 31, 2024 · 4e40ce6 · 4e40ce6
1 parent 86ad712
commit 4e40ce6
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Showing 10 changed files with 76 additions and 40 deletions.
diff --git a/Cargo.toml b/Cargo.toml
@@ -5,7 +5,7 @@ authors = [
     "Luca Palmieri <[email protected]>",
     "Lorenz Schmidt <[email protected]>",
     "Paul Körbitz <[email protected]>",
-    "Yuhan Lin <[email protected]>"
+    "Yuhan Lin <[email protected]>",
 ]
 description = "A Machine Learning framework for Rust"
 edition = "2018"
@@ -41,12 +41,12 @@ rand = { version = "0.8", features = ["small_rng"] }
 approx = "0.4"
 
 ndarray = { version = "0.15", features = ["approx"] }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 sprs = { version = "0.11", default-features = false }
 
 thiserror = "1.0"
 
-criterion = { version = "0.4.0", optional = true}
+criterion = { version = "0.4.0", optional = true }
 
 [dependencies.serde_crate]
 package = "serde"
@@ -57,17 +57,22 @@ features = ["std", "derive"]
 
 [dev-dependencies]
 ndarray-rand = "0.14"
-linfa-datasets = { path = "datasets", features = ["winequality", "iris", "diabetes", "generate"] }
+linfa-datasets = { path = "datasets", features = [
+    "winequality",
+    "iris",
+    "diabetes",
+    "generate",
+] }
 statrs = "0.16.0"
 
 [target.'cfg(not(windows))'.dependencies]
-pprof = { version = "0.11.0", features = ["flamegraph", "criterion"], optional = true}
+pprof = { version = "0.11.0", features = [
+    "flamegraph",
+    "criterion",
+], optional = true }
 
 [workspace]
-members = [
-    "algorithms/*",
-    "datasets",
-]
+members = ["algorithms/*", "datasets"]
 
 [profile.release]
 opt-level = 3
diff --git a/algorithms/linfa-clustering/Cargo.toml b/algorithms/linfa-clustering/Cargo.toml
@@ -5,15 +5,21 @@ edition = "2018"
 authors = [
     "Luca Palmieri <[email protected]>",
     "xd009642 <[email protected]>",
-    "Rémi Lafage <[email protected]>"
+    "Rémi Lafage <[email protected]>",
 ]
 description = "A collection of clustering algorithms"
 license = "MIT OR Apache-2.0"
 
 repository = "https://github.com/rust-ml/linfa/"
 readme = "README.md"
 
-keywords = ["clustering", "machine-learning", "linfa", "k-means", "unsupervised"]
+keywords = [
+    "clustering",
+    "machine-learning",
+    "linfa",
+    "k-means",
+    "unsupervised",
+]
 categories = ["algorithms", "mathematics", "science"]
 
 [features]
@@ -28,9 +34,9 @@ default-features = false
 features = ["std", "derive"]
 
 [dependencies]
-ndarray = { version = "0.15", features = ["rayon", "approx"]}
+ndarray = { version = "0.15", features = ["rayon", "approx"] }
 linfa-linalg = { version = "0.1", default-features = false }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 ndarray-rand = "0.14"
 ndarray-stats = "0.5"
 num-traits = "0.2"
@@ -44,7 +50,9 @@ noisy_float = "0.2.0"
 
 [dev-dependencies]
 ndarray-npy = { version = "0.8", default-features = false }
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["generate"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "generate",
+] }
 criterion = "0.4.0"
 serde_json = "1"
 approx = "0.4"

diff --git a/algorithms/linfa-elasticnet/Cargo.toml b/algorithms/linfa-elasticnet/Cargo.toml
@@ -3,7 +3,7 @@ name = "linfa-elasticnet"
 version = "0.7.0"
 authors = [
     "Paul Körbitz / Google <[email protected]>",
-    "Lorenz Schmidt <[email protected]>"
+    "Lorenz Schmidt <[email protected]>",
 ]
 
 description = "A Machine Learning framework for Rust"
@@ -29,9 +29,9 @@ default-features = false
 features = ["std", "derive"]
 
 [dependencies]
-ndarray = { version = "0.15", features = ["approx"]}
+ndarray = { version = "0.15", features = ["approx"] }
 linfa-linalg = { version = "0.1", default-features = false }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 
 num-traits = "0.2"
 approx = "0.4"
@@ -40,6 +40,9 @@ thiserror = "1.0"
 linfa = { version = "0.7.0", path = "../.." }
 
 [dev-dependencies]
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["diabetes", "linnerud"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "diabetes",
+    "linnerud",
+] }
 ndarray-rand = "0.14"
 rand_xoshiro = "0.6"
diff --git a/algorithms/linfa-ftrl/Cargo.toml b/algorithms/linfa-ftrl/Cargo.toml
@@ -24,20 +24,22 @@ version = "1.0"
 features = ["derive"]
 
 [dependencies]
-ndarray = { version = "0.15.4", features = ["serde"]}
+ndarray = { version = "0.15.4", features = ["serde"] }
 ndarray-rand = "0.14.0"
-argmin = { version = "0.8.1", default-features = false }
+argmin = { version = "0.9.0", default-features = false }
 argmin-math = { version = "0.3", features = ["ndarray_v0_15-nolinalg"] }
 thiserror = "1.0"
 rand = "0.8.5"
 rand_xoshiro = "0.6.0"
 
-linfa = { version = "0.7.0", path = "../.."}
+linfa = { version = "0.7.0", path = "../.." }
 
 [dev-dependencies]
 criterion = "0.4.0"
 approx = "0.4"
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["winequality"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "winequality",
+] }
 linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
 
 [[bench]]

diff --git a/algorithms/linfa-ica/Cargo.toml b/algorithms/linfa-ica/Cargo.toml
@@ -27,7 +27,7 @@ features = ["std", "derive"]
 [dependencies]
 ndarray = { version = "0.15" }
 linfa-linalg = { version = "0.1", default-features = false }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 ndarray-rand = "0.14"
 ndarray-stats = "0.5"
 num-traits = "0.2"

diff --git a/algorithms/linfa-linear/Cargo.toml b/algorithms/linfa-linear/Cargo.toml
@@ -3,7 +3,7 @@ name = "linfa-linear"
 version = "0.7.0"
 authors = [
     "Paul Körbitz / Google <[email protected]>",
-    "VasanthakumarV <[email protected]>"
+    "VasanthakumarV <[email protected]>",
 ]
 
 description = "A Machine Learning framework for Rust"
@@ -31,18 +31,20 @@ features = ["std", "derive"]
 [dependencies]
 ndarray = { version = "0.15", features = ["approx"] }
 linfa-linalg = { version = "0.1", default-features = false }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 num-traits = "0.2"
-argmin = { version = "0.8.1", default-features = false }
+argmin = { version = "0.9.0", default-features = false }
 argmin-math = { version = "0.3", features = ["ndarray_v0_15-nolinalg"] }
 thiserror = "1.0"
 
 linfa = { version = "0.7.0", path = "../.." }
 
 [dev-dependencies]
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["diabetes"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "diabetes",
+] }
 approx = "0.4"
-criterion = "0.4.0" 
+criterion = "0.4.0"
 statrs = "0.16.0"
 linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
 

diff --git a/algorithms/linfa-logistic/Cargo.toml b/algorithms/linfa-logistic/Cargo.toml
@@ -26,7 +26,7 @@ version = "1.0"
 ndarray = { version = "0.15", features = ["approx"] }
 ndarray-stats = "0.5.0"
 num-traits = "0.2"
-argmin = { version = "0.8.1", default-features = false }
+argmin = { version = "0.9.0", default-features = false }
 argmin-math = { version = "0.3", features = ["ndarray_v0_15-nolinalg"] }
 thiserror = "1.0"
 
@@ -35,5 +35,7 @@ linfa = { version = "0.7.0", path = "../.." }
 
 [dev-dependencies]
 approx = "0.4"
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["winequality"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "winequality",
+] }
 rmp-serde = "1"
diff --git a/algorithms/linfa-pls/Cargo.toml b/algorithms/linfa-pls/Cargo.toml
@@ -27,7 +27,7 @@ features = ["std", "derive"]
 [dependencies]
 ndarray = { version = "0.15" }
 linfa-linalg = { version = "0.1", default-features = false }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 ndarray-stats = "0.5"
 ndarray-rand = "0.14"
 num-traits = "0.2"
@@ -37,7 +37,9 @@ linfa = { version = "0.7.0", path = "../.." }
 
 [dev-dependencies]
 linfa = { version = "0.7.0", path = "../..", features = ["benchmarks"] }
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["linnerud"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "linnerud",
+] }
 approx = "0.4"
 rand_xoshiro = "0.6"
 criterion = "0.4.0"

diff --git a/algorithms/linfa-preprocessing/Cargo.toml b/algorithms/linfa-preprocessing/Cargo.toml
@@ -20,7 +20,7 @@ serde = ["serde_crate", "ndarray/serde", "serde_regex"]
 [dependencies]
 linfa = { version = "0.7.0", path = "../.." }
 ndarray = { version = "0.15", features = ["approx"] }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 linfa-linalg = { version = "0.1", default-features = false }
 ndarray-stats = "0.5"
 thiserror = "1.0"
@@ -29,7 +29,7 @@ ndarray-rand = { version = "0.14" }
 unicode-normalization = "0.1.8"
 regex = "1.4.5"
 encoding = "0.2"
-sprs =  { version="0.11.0", default-features = false }
+sprs = { version = "0.11.0", default-features = false }
 
 serde_regex = { version = "1.1", optional = true }
 
@@ -41,9 +41,12 @@ default-features = false
 features = ["std", "derive"]
 
 [dev-dependencies]
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["diabetes", "winequality"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "diabetes",
+    "winequality",
+] }
 linfa-bayes = { version = "0.7.0", path = "../linfa-bayes" }
-iai = "0.1" 
+iai = "0.1"
 curl = "0.4.35"
 flate2 = "1.0.20"
 tar = "0.4.33"
@@ -65,4 +68,4 @@ harness = false
 
 [[bench]]
 name = "norm_scaler_bench"
-harness = false
+harness = false
diff --git a/algorithms/linfa-reduction/Cargo.toml b/algorithms/linfa-reduction/Cargo.toml
@@ -9,7 +9,13 @@ license = "MIT OR Apache-2.0"
 repository = "https://github.com/rust-ml/linfa"
 readme = "README.md"
 
-keywords = ["reduction", "machine-learning", "linfa", "spectral", "unsupervised"]
+keywords = [
+    "reduction",
+    "machine-learning",
+    "linfa",
+    "spectral",
+    "unsupervised",
+]
 categories = ["algorithms", "mathematics", "science"]
 
 [features]
@@ -27,7 +33,7 @@ features = ["std", "derive"]
 [dependencies]
 ndarray = { version = "0.15", features = ["approx"] }
 linfa-linalg = { version = "0.1" }
-ndarray-linalg = { version = "0.15", optional = true }
+ndarray-linalg = { version = "0.16", optional = true }
 ndarray-rand = "0.14"
 num-traits = "0.2"
 thiserror = "1.0"
@@ -38,5 +44,8 @@ linfa-kernel = { version = "0.7.0", path = "../linfa-kernel" }
 
 [dev-dependencies]
 ndarray-npy = { version = "0.8", default-features = false }
-linfa-datasets = { version = "0.7.0", path = "../../datasets", features = ["iris", "generate"] }
+linfa-datasets = { version = "0.7.0", path = "../../datasets", features = [
+    "iris",
+    "generate",
+] }
 approx = { version = "0.4" }