Prepare release 0.25.0 (#223)

* Bump version 0.25.0

* Update README

* Update changelog

* Update poetry lock file

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changes
 
+## Version 0.25.0 - 19/12/2024
+
+* `gp`: **Breaking change** - Change GP training Rust API to use one dimensional array by @relf in <https://github.com/relf/egobox/pull/222>
+* `doe`: Fix optimized LHS ESE algorithm  by @relf in <https://github.com/relf/egobox/pull/219>
+* `egobox::Gpx`: Exception raised if training output data is not one-dimensional by @relf in <https://github.com/relf/egobox/pull/218>
+* `moe`: Refactor `predict_smooth` by @relf in <https://github.com/relf/egobox/pull/221>
+* Update to numpy crate 0.22.1 to fix win32 compilation by @relf in <https://github.com/relf/egobox/pull/216>
+
 ## Version 0.24.0 - 12/11/2024
 
 * `moe`: Save/Load surrogates in binary format by @relf in <https://github.com/relf/egobox/pull/213>

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "egobox"
-version = "0.24.0"
+version = "0.25.0"
 authors = ["Rémi Lafage <[email protected]>"]
 edition = "2021"
 description = "A toolbox for efficient global optimization"
@@ -31,10 +31,10 @@ persistent-moe = ["egobox-moe/persistent"]
 blas = ["ndarray/blas", "egobox-gp/blas", "egobox-moe/blas", "egobox-ego/blas"]
 
 [dependencies]
-egobox-doe = { version = "0.24.0", path = "./doe" }
-egobox-gp = { version = "0.24.0", path = "./gp" }
-egobox-moe = { version = "0.24.0", path = "./moe", features = ["persistent"] }
-egobox-ego = { version = "0.24.0", path = "./ego", features = ["persistent"] }
+egobox-doe = { version = "0.25.0", path = "./doe" }
+egobox-gp = { version = "0.25.0", path = "./gp" }
+egobox-moe = { version = "0.25.0", path = "./moe", features = ["persistent"] }
+egobox-ego = { version = "0.25.0", path = "./ego", features = ["persistent"] }
 
 linfa = { version = "0.7", default-features = false }
 

README.md

@@ -51,8 +51,8 @@ import numpy as np
 import egobox as egx
 
 # Training
-xtrain = np.array([[0.0, 1.0, 2.0, 3.0, 4.0]]).T
-ytrain = np.array([[0.0, 1.0, 1.5, 0.9, 1.0]]).T
+xtrain = np.array([0.0, 1.0, 2.0, 3.0, 4.0])
+ytrain = np.array([0.0, 1.0, 1.5, 0.9, 1.0])
 gpx = egx.Gpx.builder().fit(xtrain, ytrain)
 
 # Prediction
@@ -79,10 +79,10 @@ Depending on the sub-packages you want to use, you have to add following declara
 
 ```text
 [dependencies]
-egobox-doe = { version = "0.24" }
-egobox-gp  = { version = "0.24" }
-egobox-moe = { version = "0.24" }
-egobox-ego = { version = "0.24" }
+egobox-doe = { version = "0.25" }
+egobox-gp  = { version = "0.25" }
+egobox-moe = { version = "0.25" }
+egobox-ego = { version = "0.25" }
 ```
 
 ### Features
@@ -146,7 +146,7 @@ Thus, for instance, to use `gp` with the Intel MKL BLAS/LAPACK backend, you coul
 
 ```text
 [dependencies]
-egobox-gp = { version = "0.24", features = ["blas", "linfa/intel-mkl-static"] }
+egobox-gp = { version = "0.25", features = ["blas", "linfa/intel-mkl-static"] }
 ```
 
 or you could run the `gp` example as follows:

doe/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "egobox-doe"
-version = "0.24.0"
+version = "0.25.0"
 authors = ["Rémi Lafage <[email protected]>"]
 edition = "2021"
 description = "A library for design of experiments"

ego/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "egobox-ego"
-version = "0.24.0"
+version = "0.25.0"
 authors = ["Rémi Lafage <[email protected]>"]
 edition = "2021"
 description = "A library for efficient global optimization"
@@ -16,11 +16,11 @@ persistent = ["egobox-moe/persistent"]
 blas = ["ndarray-linalg", "linfa/ndarray-linalg", "linfa-pls/blas"]
 
 [dependencies]
-egobox-doe = { version = "0.24.0", path = "../doe", features = [
+egobox-doe = { version = "0.25.0", path = "../doe", features = [
     "serializable",
 ] }
-egobox-gp = { version = "0.24.0", path = "../gp", features = ["serializable"] }
-egobox-moe = { version = "0.24.0", path = "../moe", features = [
+egobox-gp = { version = "0.25.0", path = "../gp", features = ["serializable"] }
+egobox-moe = { version = "0.25.0", path = "../moe", features = [
     "serializable",
 ] }
 

gp/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "egobox-gp"
-version = "0.24.0"
+version = "0.25.0"
 authors = ["Rémi Lafage <[email protected]>"]
 edition = "2021"
 description = "A library for gaussian process modeling"
@@ -18,7 +18,7 @@ persistent = ["serializable", "serde_json"]
 blas = ["ndarray-linalg", "linfa/ndarray-linalg", "linfa-pls/blas"]
 
 [dependencies]
-egobox-doe = { version = "0.24.0", path = "../doe" }
+egobox-doe = { version = "0.25.0", path = "../doe" }
 
 linfa = { version = "0.7", default-features = false }
 linfa-pls = { version = "0.7", default-features = false }

moe/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "egobox-moe"
-version = "0.24.0"
+version = "0.25.0"
 authors = ["Rémi Lafage <[email protected]>"]
 edition = "2021"
 description = "A library for mixture of expert gaussian processes"
@@ -29,8 +29,8 @@ serializable = [
 blas = ["ndarray-linalg", "linfa/ndarray-linalg", "linfa-pls/blas"]
 
 [dependencies]
-egobox-doe = { version = "0.24.0", path = "../doe" }
-egobox-gp = { version = "0.24.0", path = "../gp" }
+egobox-doe = { version = "0.25.0", path = "../doe" }
+egobox-gp = { version = "0.25.0", path = "../gp" }
 
 linfa = { version = "0.7", default-features = false }
 linfa-clustering = { version = "0.7", default-features = false }

pyproject.toml

@@ -24,13 +24,13 @@ python-source = "python"
 
 [tool.poetry]
 name = "egobox"
-version = "0.24.0"
+version = "0.25.0"
 description = "Python binding for egobox EGO optimizer written in Rust"
 authors = ["Rémi Lafage <[email protected]>"]
 packages = [{ include = "egobox", from = "python" }]
 
 [tool.poetry.dependencies]
-numpy = ">=1.18, <2"
+numpy = ">=1.18"
 python = ">=3.9"
 
 [tool.poetry.dev-dependencies]