diff --git a/poetry.lock b/poetry.lock
index 374914a..68d11dc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -232,7 +232,7 @@ description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
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@@ -600,7 +600,7 @@ files = [
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     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
 
 [[package]]
 name = "colorlog"
@@ -929,7 +929,7 @@ description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["test"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
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@@ -2494,7 +2494,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
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@@ -2515,7 +2515,7 @@ description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version == \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
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@@ -4454,58 +4454,54 @@ test = ["asv", "numpydoc (>=1.7)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-
 
 [[package]]
 name = "scikit-learn"
-version = "1.6.0"
+version = "1.7.1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
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 ]
 
 [package.dependencies]
 joblib = ">=1.2.0"
-numpy = ">=1.19.5"
-scipy = ">=1.6.0"
+numpy = ">=1.22.0"
+scipy = ">=1.8.0"
 threadpoolctl = ">=3.1.0"
 
 [package.extras]
-benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
-build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
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 [[package]]
 name = "scipy"
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     {file = "tables-3.10.1-cp312-cp312-win_amd64.whl", hash = "sha256:34357d2f2f75843a44e6fe54d1f11fc2e35a8fd3cb134df3d3362cff78010adb"},
+    {file = "tables-3.10.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6fc5b46a4f359249c3ab9a0a0a2448d7e680e68cffd63fdf3fb7171781edd46e"},
+    {file = "tables-3.10.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2ecabd7f459d40b7f9f5256850dd5f43773fda7b789f827de92c3d26df1e320f"},
+    {file = "tables-3.10.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40a4ee18f3c9339d9dd8fd3777c75cda5768f2ff347064a2796f59161a190af8"},
+    {file = "tables-3.10.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:757c6ea257c174af8036cf8f273ede756bbcd6db5ac7e2a4d64e788b0f371152"},
     {file = "tables-3.10.1.tar.gz", hash = "sha256:4aa07ac734b9c037baeaf44aec64ec902ad247f57811b59f30c4e31d31f126cf"},
 ]
 
@@ -4914,7 +4914,7 @@ description = "Read and write TIFF files"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "tifffile-2025.5.10-py3-none-any.whl", hash = "sha256:e37147123c0542d67bc37ba5cdd67e12ea6fbe6e86c52bee037a9eb6a064e5ad"},
     {file = "tifffile-2025.5.10.tar.gz", hash = "sha256:018335d34283aa3fd8c263bae5c3c2b661ebc45548fde31504016fcae7bf1103"},
@@ -4938,7 +4938,7 @@ description = "Read and write TIFF files"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version == \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "tifffile-2025.6.11-py3-none-any.whl", hash = "sha256:32effb78b10b3a283eb92d4ebf844ae7e93e151458b0412f38518b4e6d2d7542"},
     {file = "tifffile-2025.6.11.tar.gz", hash = "sha256:0ece4c2e7a10656957d568a093b07513c0728d30c1bd8cc12725901fffdb7143"},
@@ -4974,7 +4974,7 @@ description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "test"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -5274,7 +5274,7 @@ files = [
     {file = "typing_extensions-4.14.1-py3-none-any.whl", hash = "sha256:d1e1e3b58374dc93031d6eda2420a48ea44a36c2b4766a4fdeb3710755731d76"},
     {file = "typing_extensions-4.14.1.tar.gz", hash = "sha256:38b39f4aeeab64884ce9f74c94263ef78f3c22467c8724005483154c26648d36"},
 ]
-markers = {test = "python_version == \"3.10\""}
+markers = {test = "python_version < \"3.11\""}
 
 [[package]]
 name = "tzdata"
@@ -5377,7 +5377,7 @@ description = "N-D labeled arrays and datasets in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "xarray-2025.6.1-py3-none-any.whl", hash = "sha256:8b988b47f67a383bdc3b04c5db475cd165e580134c1f1943d52aee4a9c97651b"},
     {file = "xarray-2025.6.1.tar.gz", hash = "sha256:a84f3f07544634a130d7dc615ae44175419f4c77957a7255161ed99c69c7c8b0"},
@@ -5404,7 +5404,7 @@ description = "N-D labeled arrays and datasets in Python"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version == \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "xarray-2025.7.1-py3-none-any.whl", hash = "sha256:e8647b659e53bd350d7c5a91c34dd4122ad6a3ca0bc41399d424a7c0273c7635"},
     {file = "xarray-2025.7.1.tar.gz", hash = "sha256:2884bf5672b540fcc6ff8c20a3196bda0d78fbfb4d67398d60526e97c2faceef"},
@@ -5431,7 +5431,7 @@ description = "Stats, linear algebra and einops for xarray"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version == \"3.10\""
+markers = "python_version < \"3.11\""
 files = [
     {file = "xarray_einstats-0.8.0-py3-none-any.whl", hash = "sha256:fd00552c3fb5c859b1ebc7c88a97342d3bb93d14bba904c5a9b94a4f724b76b4"},
     {file = "xarray_einstats-0.8.0.tar.gz", hash = "sha256:7f1573f9bd4d60d6e7ed9fd27c4db39da51ec49bf8ba654d4602a139a6309d7f"},
@@ -5455,7 +5455,7 @@ description = "Stats, linear algebra and einops for xarray"
 optional = false
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "python_version == \"3.11\""
+markers = "python_version >= \"3.11\""
 files = [
     {file = "xarray_einstats-0.9.1-py3-none-any.whl", hash = "sha256:777339524e85d066f2ef9ed1e3a3fb63aead4c1065fd1406f30dfa4de58ce063"},
     {file = "xarray_einstats-0.9.1.tar.gz", hash = "sha256:39b373deed43592c41d3fbf8863af62e19e01c1ae553ae5ff059a8df78d995c6"},
@@ -5744,4 +5744,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.12"
-content-hash = "0d317b31ba7f503d8d65f8c03eb50abea9a9b9201bee6ada6e61cdb665d3a388"
+content-hash = "71e67af7136362ca29bb622d61cdfddf9ce5e74f3cc1bb4abce1fc616961921a"
diff --git a/pyproject.toml b/pyproject.toml
index 5811836..dd54df8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ torch = "2.7.1" # deep learning library
 pandas = "2.2.3" # data manipulation library
 numpy = "2.0.2" # numerical computing library
 scipy = "1.14.1" # scientific computing library
-scikit-learn = "1.6.0" # machine learning library
+scikit-learn = "1.7.1" # machine learning library
 PyYAML = "6.0.2" # YAML parser
 types-PyYAML = "6.0.12.20250516" # type hints for PyYAML
 pandas-stubs = "2.2.3.241126" # type hints for pandas