diff --git a/docs/API/estimators/ensemble/lexico_gradient_boosting.md b/docs/API/estimators/ensemble/lexico_gradient_boosting.md
index 2fb4a79..1ecdd43 100644
--- a/docs/API/estimators/ensemble/lexico_gradient_boosting.md
+++ b/docs/API/estimators/ensemble/lexico_gradient_boosting.md
@@ -10,7 +10,7 @@ LexicoGradientBoostingClassifier(
    max_depth: Optional[int] = 3, min_samples_split: int = 2, min_samples_leaf: int = 1,
    min_weight_fraction_leaf: float = 0.0, max_features: Optional[Union[int, str]] = None,
    random_state: Optional[int] = None, max_leaf_nodes: Optional[int] = None,
-   min_impurity_decrease: float = 0.0, ccp_alpha: float = 0.0, tree_flavor: bool = False,
+   min_impurity_decrease: float = 0.0, ccp_alpha: float = 0.0,
    n_estimators: int = 100, learning_rate: float = 0.1
 )
 ```
@@ -56,8 +56,7 @@ decision tree models capable of handling longitudinal data.
 - **max_leaf_nodes** (`Optional[int]`, default=None): The maximum number of leaf nodes in the tree.
 - **min_impurity_decrease** (`float`, optional, default=0.0): The minimum impurity decrease required for a node to be split.
 - **ccp_alpha** (`float`, optional, default=0.0): Complexity parameter used for Minimal Cost-Complexity Pruning.
-- **tree_flavor** (`bool`, optional, default=False): Indicates whether to use a specific tree flavor.
-- **n_estimators** (`int`, optional, default=100): The number of boosting stages to be run.
+- **n_estimators** (`int`, optional, default=100): The number of DecisionTreeRegressor to have in the ensemble.
 - **learning_rate** (`float`, optional, default=0.1): Learning rate shrinks the contribution of each tree by `learning_rate`.
 
 ## Methods
@@ -228,5 +227,4 @@ accuracy_score(y, y_pred)  # (3)
 - **Ribeiro and Freitas (2020)**:
   - **Ribeiro, C. and Freitas, A., 2020, December.** A new random forest method for longitudinal data regression using a lexicographic bi-objective approach. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI).
 
-Here is the initial Python implementation of the Gradient Boosting algorithm: [Gradient Boosting Sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier)
-As well as the implementation we are using: [Starboost Gradient Boosting](https://maxhalford.github.io/starboost/#classification)
\ No newline at end of file
+Here is the initial Python implementation of the Gradient Boosting algorithm: [Gradient Boosting Sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html#sklearn.ensemble.GradientBoostingClassifier)
\ No newline at end of file
diff --git a/pdm.lock b/pdm.lock
index 61ba8c7..611d69e 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -5,7 +5,7 @@
 groups = ["default", "doc", "lint", "test"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.2"
-content_hash = "sha256:f5b1735de4a4dbedcdff904b0c56734604b2c8fcdaf643ccdfeb014a4d7903b0"
+content_hash = "sha256:e03c22ce39a087e162f1c3489b432ec9150030281933ee9c445f315e2c0a5e6f"
 
 [[package]]
 name = "aiosignal"
@@ -114,7 +114,7 @@ files = [
 
 [[package]]
 name = "astroid"
-version = "3.2.3"
+version = "3.2.4"
 requires_python = ">=3.8.0"
 summary = "An abstract syntax tree for Python with inference support."
 groups = ["lint"]
@@ -122,8 +122,8 @@ dependencies = [
     "typing-extensions>=4.0.0; python_version < \"3.11\"",
 ]
 files = [
-    {file = "astroid-3.2.3-py3-none-any.whl", hash = "sha256:3eae9ea67c11c858cdd2c91337d2e816bd019ac897ca07d7b346ac10105fceb3"},
-    {file = "astroid-3.2.3.tar.gz", hash = "sha256:7099b5a60985529d8d46858befa103b82d0d05a5a5e8b816b5303ed96075e1d9"},
+    {file = "astroid-3.2.4-py3-none-any.whl", hash = "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25"},
+    {file = "astroid-3.2.4.tar.gz", hash = "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a"},
 ]
 
 [[package]]
@@ -599,14 +599,14 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 requires_python = ">=3.7"
 summary = "Backport of PEP 654 (exception groups)"
 groups = ["default", "test"]
 marker = "python_version < \"3.11\""
 files = [
-    {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
-    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
+    {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
+    {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
 ]
 
 [[package]]
@@ -834,7 +834,7 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "8.0.0"
+version = "8.2.0"
 requires_python = ">=3.8"
 summary = "Read metadata from Python packages"
 groups = ["default", "doc"]
@@ -843,8 +843,8 @@ dependencies = [
     "zipp>=0.5",
 ]
 files = [
-    {file = "importlib_metadata-8.0.0-py3-none-any.whl", hash = "sha256:15584cf2b1bf449d98ff8a6ff1abef57bf20f3ac6454f431736cd3e660921b2f"},
-    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
+    {file = "importlib_metadata-8.2.0-py3-none-any.whl", hash = "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369"},
+    {file = "importlib_metadata-8.2.0.tar.gz", hash = "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d"},
 ]
 
 [[package]]
@@ -1202,7 +1202,7 @@ files = [
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.1"
+version = "2.14.2"
 requires_python = ">=3.8"
 summary = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 groups = ["default"]
@@ -1228,8 +1228,8 @@ dependencies = [
     "websocket-client>=1.7",
 ]
 files = [
-    {file = "jupyter_server-2.14.1-py3-none-any.whl", hash = "sha256:16f7177c3a4ea8fe37784e2d31271981a812f0b2874af17339031dc3510cc2a5"},
-    {file = "jupyter_server-2.14.1.tar.gz", hash = "sha256:12558d158ec7a0653bf96cc272bc7ad79e0127d503b982ed144399346694f726"},
+    {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"},
+    {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"},
 ]
 
 [[package]]
@@ -1249,7 +1249,7 @@ files = [
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.3"
+version = "4.2.4"
 requires_python = ">=3.8"
 summary = "JupyterLab computational environment"
 groups = ["default"]
@@ -1271,8 +1271,8 @@ dependencies = [
     "traitlets",
 ]
 files = [
-    {file = "jupyterlab-4.2.3-py3-none-any.whl", hash = "sha256:0b59d11808e84bb84105c73364edfa867dd475492429ab34ea388a52f2e2e596"},
-    {file = "jupyterlab-4.2.3.tar.gz", hash = "sha256:df6e46969ea51d66815167f23d92f105423b7f1f06fa604d4f44aeb018c82c7b"},
+    {file = "jupyterlab-4.2.4-py3-none-any.whl", hash = "sha256:807a7ec73637744f879e112060d4b9d9ebe028033b7a429b2d1f4fc523d00245"},
+    {file = "jupyterlab-4.2.4.tar.gz", hash = "sha256:343a979fb9582fd08c8511823e320703281cd072a0049bcdafdc7afeda7f2537"},
 ]
 
 [[package]]
@@ -1288,7 +1288,7 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.27.2"
+version = "2.27.3"
 requires_python = ">=3.8"
 summary = "A set of server components for JupyterLab and JupyterLab like applications."
 groups = ["default"]
@@ -1303,8 +1303,8 @@ dependencies = [
     "requests>=2.31",
 ]
 files = [
-    {file = "jupyterlab_server-2.27.2-py3-none-any.whl", hash = "sha256:54aa2d64fd86383b5438d9f0c032f043c4d8c0264b8af9f60bd061157466ea43"},
-    {file = "jupyterlab_server-2.27.2.tar.gz", hash = "sha256:15cbb349dc45e954e09bacf81b9f9bcb10815ff660fb2034ecd7417db3a7ea27"},
+    {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"},
+    {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"},
 ]
 
 [[package]]
@@ -1974,18 +1974,18 @@ files = [
 
 [[package]]
 name = "protobuf"
-version = "5.27.2"
+version = "5.27.3"
 requires_python = ">=3.8"
 summary = ""
 groups = ["default"]
 files = [
-    {file = "protobuf-5.27.2-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a109916aaac42bff84702fb5187f3edadbc7c97fc2c99c5ff81dd15dcce0d1e5"},
-    {file = "protobuf-5.27.2-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:176c12b1f1c880bf7a76d9f7c75822b6a2bc3db2d28baa4d300e8ce4cde7409b"},
-    {file = "protobuf-5.27.2-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:b848dbe1d57ed7c191dfc4ea64b8b004a3f9ece4bf4d0d80a367b76df20bf36e"},
-    {file = "protobuf-5.27.2-cp39-cp39-win32.whl", hash = "sha256:9e8f199bf7f97bd7ecebffcae45ebf9527603549b2b562df0fbc6d4d688f14ca"},
-    {file = "protobuf-5.27.2-cp39-cp39-win_amd64.whl", hash = "sha256:7fc3add9e6003e026da5fc9e59b131b8f22b428b991ccd53e2af8071687b4fce"},
-    {file = "protobuf-5.27.2-py3-none-any.whl", hash = "sha256:54330f07e4949d09614707c48b06d1a22f8ffb5763c159efd5c0928326a91470"},
-    {file = "protobuf-5.27.2.tar.gz", hash = "sha256:f3ecdef226b9af856075f28227ff2c90ce3a594d092c39bee5513573f25e2714"},
+    {file = "protobuf-5.27.3-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:68248c60d53f6168f565a8c76dc58ba4fa2ade31c2d1ebdae6d80f969cdc2d4f"},
+    {file = "protobuf-5.27.3-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:b8a994fb3d1c11156e7d1e427186662b64694a62b55936b2b9348f0a7c6625ce"},
+    {file = "protobuf-5.27.3-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:a55c48f2a2092d8e213bd143474df33a6ae751b781dd1d1f4d953c128a415b25"},
+    {file = "protobuf-5.27.3-cp39-cp39-win32.whl", hash = "sha256:c84eee2c71ed83704f1afbf1a85c3171eab0fd1ade3b399b3fad0884cbcca8bf"},
+    {file = "protobuf-5.27.3-cp39-cp39-win_amd64.whl", hash = "sha256:af7c0b7cfbbb649ad26132e53faa348580f844d9ca46fd3ec7ca48a1ea5db8a1"},
+    {file = "protobuf-5.27.3-py3-none-any.whl", hash = "sha256:8572c6533e544ebf6899c360e91d6bcbbee2549251643d32c52cf8a5de295ba5"},
+    {file = "protobuf-5.27.3.tar.gz", hash = "sha256:82460903e640f2b7e34ee81a947fdaad89de796d324bcbc38ff5430bcdead82c"},
 ]
 
 [[package]]
@@ -2018,12 +2018,12 @@ files = [
 
 [[package]]
 name = "pure-eval"
-version = "0.2.2"
+version = "0.2.3"
 summary = "Safely evaluate AST nodes without side effects"
 groups = ["default"]
 files = [
-    {file = "pure_eval-0.2.2-py3-none-any.whl", hash = "sha256:01eaab343580944bc56080ebe0a674b39ec44a945e6d09ba7db3cb8cec289350"},
-    {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
+    {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
+    {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
 ]
 
 [[package]]
@@ -2086,12 +2086,12 @@ files = [
 
 [[package]]
 name = "pylint"
-version = "3.2.5"
+version = "3.2.6"
 requires_python = ">=3.8.0"
 summary = "python code static checker"
 groups = ["lint"]
 dependencies = [
-    "astroid<=3.3.0-dev0,>=3.2.2",
+    "astroid<=3.3.0-dev0,>=3.2.4",
     "colorama>=0.4.5; sys_platform == \"win32\"",
     "dill>=0.2; python_version < \"3.11\"",
     "isort!=5.13.0,<6,>=4.2.5",
@@ -2102,13 +2102,13 @@ dependencies = [
     "typing-extensions>=3.10.0; python_version < \"3.10\"",
 ]
 files = [
-    {file = "pylint-3.2.5-py3-none-any.whl", hash = "sha256:32cd6c042b5004b8e857d727708720c54a676d1e22917cf1a2df9b4d4868abd6"},
-    {file = "pylint-3.2.5.tar.gz", hash = "sha256:e9b7171e242dcc6ebd0aaa7540481d1a72860748a0a7816b8fe6cf6c80a6fe7e"},
+    {file = "pylint-3.2.6-py3-none-any.whl", hash = "sha256:03c8e3baa1d9fb995b12c1dbe00aa6c4bcef210c2a2634374aedeb22fb4a8f8f"},
+    {file = "pylint-3.2.6.tar.gz", hash = "sha256:a5d01678349454806cff6d886fb072294f56a58c4761278c97fb557d708e1eb3"},
 ]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.8.1"
+version = "10.9"
 requires_python = ">=3.8"
 summary = "Extension pack for Python Markdown."
 groups = ["doc"]
@@ -2117,8 +2117,8 @@ dependencies = [
     "pyyaml",
 ]
 files = [
-    {file = "pymdown_extensions-10.8.1-py3-none-any.whl", hash = "sha256:f938326115884f48c6059c67377c46cf631c733ef3629b6eed1349989d1b30cb"},
-    {file = "pymdown_extensions-10.8.1.tar.gz", hash = "sha256:3ab1db5c9e21728dabf75192d71471f8e50f216627e9a1fa9535ecb0231b9940"},
+    {file = "pymdown_extensions-10.9-py3-none-any.whl", hash = "sha256:d323f7e90d83c86113ee78f3fe62fc9dee5f56b54d912660703ea1816fed5626"},
+    {file = "pymdown_extensions-10.9.tar.gz", hash = "sha256:6ff740bcd99ec4172a938970d42b96128bdc9d4b9bcad72494f29921dc69b753"},
 ]
 
 [[package]]
@@ -2134,7 +2134,7 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "8.2.2"
+version = "8.3.2"
 requires_python = ">=3.8"
 summary = "pytest: simple powerful testing with Python"
 groups = ["test"]
@@ -2143,12 +2143,12 @@ dependencies = [
     "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
     "iniconfig",
     "packaging",
-    "pluggy<2.0,>=1.5",
+    "pluggy<2,>=1.5",
     "tomli>=1; python_version < \"3.11\"",
 ]
 files = [
-    {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"},
-    {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"},
+    {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
+    {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
 ]
 
 [[package]]
@@ -2338,7 +2338,7 @@ files = [
 
 [[package]]
 name = "ray"
-version = "2.32.0"
+version = "2.34.0"
 requires_python = ">=3.8"
 summary = "Ray provides a simple, universal API for building distributed applications."
 groups = ["default"]
@@ -2355,11 +2355,11 @@ dependencies = [
     "requests",
 ]
 files = [
-    {file = "ray-2.32.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:1a294b03fe795bfe05338260c86cc687daa6da2bc6b478b0c3944484a23470b1"},
-    {file = "ray-2.32.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9f8556559b23774f9231a90423c179150ab9e75929d3c69f7ce0bf2e9be233e1"},
-    {file = "ray-2.32.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:4e9d32a193b4b4bb8a9d8a147aab770119b4d4473d266f71224d2daa5ebe3d0f"},
-    {file = "ray-2.32.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:5b334e0d80de19e4aab2555f07635f1f7f7718911f30a9632507497b9a686211"},
-    {file = "ray-2.32.0-cp39-cp39-win_amd64.whl", hash = "sha256:f7a3e211eaf9a57e2a27c3df0e568486c42bd6903ca3fcff5789694b791e90b7"},
+    {file = "ray-2.34.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:93dfab2256e8bab153a10d4af8e82d124afe9a950ac5435c5d33a4637ed0cbb8"},
+    {file = "ray-2.34.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:37c4840e3953bff40900a189fcf2a866581fd5c11e72b8c532a593a200450bb4"},
+    {file = "ray-2.34.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:42df897f2bf368fa1d74c6672f36a9fae4ebcf7f1495716f9cca445415c51f55"},
+    {file = "ray-2.34.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:7c11a58daf074093d5b5a31de62f3dc0e55a7649edcc16a902eed6dc16fc6a4f"},
+    {file = "ray-2.34.0-cp39-cp39-win_amd64.whl", hash = "sha256:2cbf7b38b97f80f95ca1c841d783a577f1618c15c6fbf32574dd0efa4e4b12bd"},
 ]
 
 [[package]]
@@ -2379,28 +2379,28 @@ files = [
 
 [[package]]
 name = "regex"
-version = "2024.5.15"
+version = "2024.7.24"
 requires_python = ">=3.8"
 summary = "Alternative regular expression module, to replace re."
 groups = ["doc"]
 files = [
-    {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:13cdaf31bed30a1e1c2453ef6015aa0983e1366fad2667657dbcac7b02f67133"},
-    {file = "regex-2024.5.15-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cac27dcaa821ca271855a32188aa61d12decb6fe45ffe3e722401fe61e323cd1"},
-    {file = "regex-2024.5.15-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:7dbe2467273b875ea2de38ded4eba86cbcbc9a1a6d0aa11dcf7bd2e67859c435"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64f18a9a3513a99c4bef0e3efd4c4a5b11228b48aa80743be822b71e132ae4f5"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d347a741ea871c2e278fde6c48f85136c96b8659b632fb57a7d1ce1872547600"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1878b8301ed011704aea4c806a3cadbd76f84dece1ec09cc9e4dc934cfa5d4da"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4babf07ad476aaf7830d77000874d7611704a7fcf68c9c2ad151f5d94ae4bfc4"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35cb514e137cb3488bce23352af3e12fb0dbedd1ee6e60da053c69fb1b29cc6c"},
-    {file = "regex-2024.5.15-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:cdd09d47c0b2efee9378679f8510ee6955d329424c659ab3c5e3a6edea696294"},
-    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:72d7a99cd6b8f958e85fc6ca5b37c4303294954eac1376535b03c2a43eb72629"},
-    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:a094801d379ab20c2135529948cb84d417a2169b9bdceda2a36f5f10977ebc16"},
-    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:c0c18345010870e58238790a6779a1219b4d97bd2e77e1140e8ee5d14df071aa"},
-    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:16093f563098448ff6b1fa68170e4acbef94e6b6a4e25e10eae8598bb1694b5d"},
-    {file = "regex-2024.5.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e38a7d4e8f633a33b4c7350fbd8bad3b70bf81439ac67ac38916c4a86b465456"},
-    {file = "regex-2024.5.15-cp39-cp39-win32.whl", hash = "sha256:71a455a3c584a88f654b64feccc1e25876066c4f5ef26cd6dd711308aa538694"},
-    {file = "regex-2024.5.15-cp39-cp39-win_amd64.whl", hash = "sha256:cab12877a9bdafde5500206d1020a584355a97884dfd388af3699e9137bf7388"},
-    {file = "regex-2024.5.15.tar.gz", hash = "sha256:d3ee02d9e5f482cc8309134a91eeaacbdd2261ba111b0fef3748eeb4913e6a2c"},
+    {file = "regex-2024.7.24-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:0ffe3f9d430cd37d8fa5632ff6fb36d5b24818c5c986893063b4e5bdb84cdf24"},
+    {file = "regex-2024.7.24-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:25419b70ba00a16abc90ee5fce061228206173231f004437730b67ac77323f0d"},
+    {file = "regex-2024.7.24-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:33e2614a7ce627f0cdf2ad104797d1f68342d967de3695678c0cb84f530709f8"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d33a0021893ede5969876052796165bab6006559ab845fd7b515a30abdd990dc"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:04ce29e2c5fedf296b1a1b0acc1724ba93a36fb14031f3abfb7abda2806c1535"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b16582783f44fbca6fcf46f61347340c787d7530d88b4d590a397a47583f31dd"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:836d3cc225b3e8a943d0b02633fb2f28a66e281290302a79df0e1eaa984ff7c1"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:438d9f0f4bc64e8dea78274caa5af971ceff0f8771e1a2333620969936ba10be"},
+    {file = "regex-2024.7.24-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:973335b1624859cb0e52f96062a28aa18f3a5fc77a96e4a3d6d76e29811a0e6e"},
+    {file = "regex-2024.7.24-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c5e69fd3eb0b409432b537fe3c6f44ac089c458ab6b78dcec14478422879ec5f"},
+    {file = "regex-2024.7.24-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:fbf8c2f00904eaf63ff37718eb13acf8e178cb940520e47b2f05027f5bb34ce3"},
+    {file = "regex-2024.7.24-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:ae2757ace61bc4061b69af19e4689fa4416e1a04840f33b441034202b5cd02d4"},
+    {file = "regex-2024.7.24-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:44fc61b99035fd9b3b9453f1713234e5a7c92a04f3577252b45feefe1b327759"},
+    {file = "regex-2024.7.24-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:84c312cdf839e8b579f504afcd7b65f35d60b6285d892b19adea16355e8343c9"},
+    {file = "regex-2024.7.24-cp39-cp39-win32.whl", hash = "sha256:ca5b2028c2f7af4e13fb9fc29b28d0ce767c38c7facdf64f6c2cd040413055f1"},
+    {file = "regex-2024.7.24-cp39-cp39-win_amd64.whl", hash = "sha256:7c479f5ae937ec9985ecaf42e2e10631551d909f203e31308c12d703922742f9"},
+    {file = "regex-2024.7.24.tar.gz", hash = "sha256:9cfd009eed1a46b27c14039ad5bbc5e71b6367c5b2e6d5f5da0ea91600817506"},
 ]
 
 [[package]]
@@ -2462,63 +2462,54 @@ files = [
 
 [[package]]
 name = "rpds-py"
-version = "0.19.0"
+version = "0.19.1"
 requires_python = ">=3.8"
 summary = "Python bindings to Rust's persistent data structures (rpds)"
 groups = ["default"]
 files = [
-    {file = "rpds_py-0.19.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5039e3cef7b3e7a060de468a4a60a60a1f31786da94c6cb054e7a3c75906111c"},
-    {file = "rpds_py-0.19.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab1932ca6cb8c7499a4d87cb21ccc0d3326f172cfb6a64021a889b591bb3045c"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f2afd2164a1e85226fcb6a1da77a5c8896c18bfe08e82e8ceced5181c42d2179"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b1c30841f5040de47a0046c243fc1b44ddc87d1b12435a43b8edff7e7cb1e0d0"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f757f359f30ec7dcebca662a6bd46d1098f8b9fb1fcd661a9e13f2e8ce343ba1"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:15e65395a59d2e0e96caf8ee5389ffb4604e980479c32742936ddd7ade914b22"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cb0f6eb3a320f24b94d177e62f4074ff438f2ad9d27e75a46221904ef21a7b05"},
-    {file = "rpds_py-0.19.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b228e693a2559888790936e20f5f88b6e9f8162c681830eda303bad7517b4d5a"},
-    {file = "rpds_py-0.19.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:2575efaa5d949c9f4e2cdbe7d805d02122c16065bfb8d95c129372d65a291a0b"},
-    {file = "rpds_py-0.19.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:5c872814b77a4e84afa293a1bee08c14daed1068b2bb1cc312edbf020bbbca2b"},
-    {file = "rpds_py-0.19.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:850720e1b383df199b8433a20e02b25b72f0fded28bc03c5bd79e2ce7ef050be"},
-    {file = "rpds_py-0.19.0-cp39-none-win32.whl", hash = "sha256:ce84a7efa5af9f54c0aa7692c45861c1667080814286cacb9958c07fc50294fb"},
-    {file = "rpds_py-0.19.0-cp39-none-win_amd64.whl", hash = "sha256:1c26da90b8d06227d7769f34915913911222d24ce08c0ab2d60b354e2d9c7aff"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:75969cf900d7be665ccb1622a9aba225cf386bbc9c3bcfeeab9f62b5048f4a07"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:8445f23f13339da640d1be8e44e5baf4af97e396882ebbf1692aecd67f67c479"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5a7c1062ef8aea3eda149f08120f10795835fc1c8bc6ad948fb9652a113ca55"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:462b0c18fbb48fdbf980914a02ee38c423a25fcc4cf40f66bacc95a2d2d73bc8"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3208f9aea18991ac7f2b39721e947bbd752a1abbe79ad90d9b6a84a74d44409b"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c3444fe52b82f122d8a99bf66777aed6b858d392b12f4c317da19f8234db4533"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88cb4bac7185a9f0168d38c01d7a00addece9822a52870eee26b8d5b61409213"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6b130bd4163c93798a6b9bb96be64a7c43e1cec81126ffa7ffaa106e1fc5cef5"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:a707b158b4410aefb6b054715545bbb21aaa5d5d0080217290131c49c2124a6e"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:dc9ac4659456bde7c567107556ab065801622396b435a3ff213daef27b495388"},
-    {file = "rpds_py-0.19.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:81ea573aa46d3b6b3d890cd3c0ad82105985e6058a4baed03cf92518081eec8c"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f148c3f47f7f29a79c38cc5d020edcb5ca780020fab94dbc21f9af95c463581"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0906357f90784a66e89ae3eadc2654f36c580a7d65cf63e6a616e4aec3a81be"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f629ecc2db6a4736b5ba95a8347b0089240d69ad14ac364f557d52ad68cf94b0"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c6feacd1d178c30e5bc37184526e56740342fd2aa6371a28367bad7908d454fc"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae8b6068ee374fdfab63689be0963333aa83b0815ead5d8648389a8ded593378"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:78d57546bad81e0da13263e4c9ce30e96dcbe720dbff5ada08d2600a3502e526"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8b6683a37338818646af718c9ca2a07f89787551057fae57c4ec0446dc6224b"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e8481b946792415adc07410420d6fc65a352b45d347b78fec45d8f8f0d7496f0"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:bec35eb20792ea64c3c57891bc3ca0bedb2884fbac2c8249d9b731447ecde4fa"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:aa5476c3e3a402c37779e95f7b4048db2cb5b0ed0b9d006983965e93f40fe05a"},
-    {file = "rpds_py-0.19.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:19d02c45f2507b489fd4df7b827940f1420480b3e2e471e952af4d44a1ea8e34"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a3e2fd14c5d49ee1da322672375963f19f32b3d5953f0615b175ff7b9d38daed"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:93a91c2640645303e874eada51f4f33351b84b351a689d470f8108d0e0694210"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5b9fc03bf76a94065299d4a2ecd8dfbae4ae8e2e8098bbfa6ab6413ca267709"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5a4b07cdf3f84310c08c1de2c12ddadbb7a77568bcb16e95489f9c81074322ed"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba0ed0dc6763d8bd6e5de5cf0d746d28e706a10b615ea382ac0ab17bb7388633"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:474bc83233abdcf2124ed3f66230a1c8435896046caa4b0b5ab6013c640803cc"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:329c719d31362355a96b435f4653e3b4b061fcc9eba9f91dd40804ca637d914e"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ef9101f3f7b59043a34f1dccbb385ca760467590951952d6701df0da9893ca0c"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:0121803b0f424ee2109d6e1f27db45b166ebaa4b32ff47d6aa225642636cd834"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:8344127403dea42f5970adccf6c5957a71a47f522171fafaf4c6ddb41b61703a"},
-    {file = "rpds_py-0.19.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:443cec402ddd650bb2b885113e1dcedb22b1175c6be223b14246a714b61cd521"},
-    {file = "rpds_py-0.19.0.tar.gz", hash = "sha256:4fdc9afadbeb393b4bbbad75481e0ea78e4469f2e1d713a90811700830b553a9"},
+    {file = "rpds_py-0.19.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:e76c902d229a3aa9d5ceb813e1cbcc69bf5bda44c80d574ff1ac1fa3136dea71"},
+    {file = "rpds_py-0.19.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:de1f7cd5b6b351e1afd7568bdab94934d656abe273d66cda0ceea43bbc02a0c2"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:24fc5a84777cb61692d17988989690d6f34f7f95968ac81398d67c0d0994a897"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:74129d5ffc4cde992d89d345f7f7d6758320e5d44a369d74d83493429dad2de5"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5e360188b72f8080fefa3adfdcf3618604cc8173651c9754f189fece068d2a45"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:13e6d4840897d4e4e6b2aa1443e3a8eca92b0402182aafc5f4ca1f5e24f9270a"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f09529d2332264a902688031a83c19de8fda5eb5881e44233286b9c9ec91856d"},
+    {file = "rpds_py-0.19.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0d4b52811dcbc1aba08fd88d475f75b4f6db0984ba12275d9bed1a04b2cae9b5"},
+    {file = "rpds_py-0.19.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dd635c2c4043222d80d80ca1ac4530a633102a9f2ad12252183bcf338c1b9474"},
+    {file = "rpds_py-0.19.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:f35b34a5184d5e0cc360b61664c1c06e866aab077b5a7c538a3e20c8fcdbf90b"},
+    {file = "rpds_py-0.19.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d4ec0046facab83012d821b33cead742a35b54575c4edfb7ed7445f63441835f"},
+    {file = "rpds_py-0.19.1-cp39-none-win32.whl", hash = "sha256:f5b8353ea1a4d7dfb59a7f45c04df66ecfd363bb5b35f33b11ea579111d4655f"},
+    {file = "rpds_py-0.19.1-cp39-none-win_amd64.whl", hash = "sha256:1fb93d3486f793d54a094e2bfd9cd97031f63fcb5bc18faeb3dd4b49a1c06523"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:7d5c7e32f3ee42f77d8ff1a10384b5cdcc2d37035e2e3320ded909aa192d32c3"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:89cc8921a4a5028d6dd388c399fcd2eef232e7040345af3d5b16c04b91cf3c7e"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bca34e913d27401bda2a6f390d0614049f5a95b3b11cd8eff80fe4ec340a1208"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5953391af1405f968eb5701ebbb577ebc5ced8d0041406f9052638bafe52209d"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:840e18c38098221ea6201f091fc5d4de6128961d2930fbbc96806fb43f69aec1"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6d8b735c4d162dc7d86a9cf3d717f14b6c73637a1f9cd57fe7e61002d9cb1972"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ce757c7c90d35719b38fa3d4ca55654a76a40716ee299b0865f2de21c146801c"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a9421b23c85f361a133aa7c5e8ec757668f70343f4ed8fdb5a4a14abd5437244"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:3b823be829407393d84ee56dc849dbe3b31b6a326f388e171555b262e8456cc1"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:5e58b61dcbb483a442c6239c3836696b79f2cd8e7eec11e12155d3f6f2d886d1"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:39d67896f7235b2c886fb1ee77b1491b77049dcef6fbf0f401e7b4cbed86bbd4"},
+    {file = "rpds_py-0.19.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:8b32cd4ab6db50c875001ba4f5a6b30c0f42151aa1fbf9c2e7e3674893fb1dc4"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:1c32e41de995f39b6b315d66c27dea3ef7f7c937c06caab4c6a79a5e09e2c415"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:1a129c02b42d46758c87faeea21a9f574e1c858b9f358b6dd0bbd71d17713175"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:346557f5b1d8fd9966059b7a748fd79ac59f5752cd0e9498d6a40e3ac1c1875f"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:31e450840f2f27699d014cfc8865cc747184286b26d945bcea6042bb6aa4d26e"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:01227f8b3e6c8961490d869aa65c99653df80d2f0a7fde8c64ebddab2b9b02fd"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:69084fd29bfeff14816666c93a466e85414fe6b7d236cfc108a9c11afa6f7301"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4d2b88efe65544a7d5121b0c3b003ebba92bfede2ea3577ce548b69c5235185"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ea961a674172ed2235d990d7edf85d15d8dfa23ab8575e48306371c070cda67"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:5beffdbe766cfe4fb04f30644d822a1080b5359df7db3a63d30fa928375b2720"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:720f3108fb1bfa32e51db58b832898372eb5891e8472a8093008010911e324c5"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:c2087dbb76a87ec2c619253e021e4fb20d1a72580feeaa6892b0b3d955175a71"},
+    {file = "rpds_py-0.19.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2ddd50f18ebc05ec29a0d9271e9dbe93997536da3546677f8ca00b76d477680c"},
+    {file = "rpds_py-0.19.1.tar.gz", hash = "sha256:31dd5794837f00b46f4096aa8ccaa5972f73a938982e32ed817bb520c465e520"},
 ]
 
 [[package]]
 name = "scikit-lexicographical-trees"
-version = "0.0.2"
+version = "0.0.4"
 requires_python = ">=3.9"
 summary = "A set of python modules for machine learning and data mining"
 groups = ["default"]
@@ -2529,10 +2520,10 @@ dependencies = [
     "threadpoolctl>=3.1.0",
 ]
 files = [
-    {file = "scikit_lexicographical_trees-0.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cde968de31c19f32a5a11afe0b9b23159519246a984217e5c5437d873bfc5250"},
-    {file = "scikit_lexicographical_trees-0.0.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:33e9438ce7e37ae4d36f3f70cd992e4b2defc4ce43349563b1475e42569bfc08"},
-    {file = "scikit_lexicographical_trees-0.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8bc1a9fad5e3419866741f659f90d1eb9c8e1b52e9d3d894982507805d388b54"},
-    {file = "scikit_lexicographical_trees-0.0.2.tar.gz", hash = "sha256:308341427efb4e3f9c175a0eadc7697b8c574e5da8873e530f21dba55a3d35c4"},
+    {file = "scikit_lexicographical_trees-0.0.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:308e9dd90758d65369a2aa9a2f7a1cc06236124c66eb0f87bed56c4db104d3fd"},
+    {file = "scikit_lexicographical_trees-0.0.4-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:4fcc3752e8b5914da3eb0409749dd290b0ee93ed65921290b278a3be7c0b6918"},
+    {file = "scikit_lexicographical_trees-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:344fcd16652225a35cbe0fc9804ce8f8e32ea41aa9f825e53bd0a1f3e6c25c14"},
+    {file = "scikit_lexicographical_trees-0.0.4.tar.gz", hash = "sha256:37af46423c1d682a36e4f4758d4ee47cde95d7b0693316f475bc257372cf347a"},
 ]
 
 [[package]]
@@ -2567,13 +2558,13 @@ files = [
 
 [[package]]
 name = "setuptools"
-version = "70.3.0"
+version = "72.1.0"
 requires_python = ">=3.8"
 summary = "Easily download, build, install, upgrade, and uninstall Python packages"
 groups = ["default", "test"]
 files = [
-    {file = "setuptools-70.3.0-py3-none-any.whl", hash = "sha256:fe384da74336c398e0d956d1cae0669bc02eed936cdb1d49b57de1990dc11ffc"},
-    {file = "setuptools-70.3.0.tar.gz", hash = "sha256:f171bab1dfbc86b132997f26a119f6056a57950d058587841a0082e8830f9dc5"},
+    {file = "setuptools-72.1.0-py3-none-any.whl", hash = "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1"},
+    {file = "setuptools-72.1.0.tar.gz", hash = "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec"},
 ]
 
 [[package]]
@@ -2634,21 +2625,6 @@ files = [
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
 ]
 
-[[package]]
-name = "starboost"
-version = "0.0.2"
-requires_python = ">=3.5.0"
-summary = "A small machine learning library for doing gradient boosting"
-groups = ["default"]
-dependencies = [
-    "numpy>=1.14.0",
-    "scipy>=1.0.1",
-]
-files = [
-    {file = "starboost-0.0.2-py2.py3-none-any.whl", hash = "sha256:e35691117640b8dcfbeb3edc1b2ea5eddecfc33148775a2c7c04273457088249"},
-    {file = "starboost-0.0.2.tar.gz", hash = "sha256:10d88630ecef8b4442a667ede4dcf6c3d383f4f0f55af0d909726ae63ae9fd3e"},
-]
-
 [[package]]
 name = "statsmodels"
 version = "0.14.2"
diff --git a/pyproject.toml b/pyproject.toml
index bf40ea5..2922c4f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "Scikit-longitudinal"
-version="0.0.5"
+version="0.0.6"
 description = "Scikit-longitudinal, an open-source Python lib for longitudinal data analysis, builds on Scikit-learn's foundation. It offers specialised tools to tackle challenges of repeated measures data, ideal for (med.) researchers, data scientists, & analysts."
 authors = [
     {name = "Provost Simon", email = "simon.gilbert.provost@gmail.com"},
@@ -23,8 +23,7 @@ dependencies = [
     "rich>=13.6.0",
     "joblib>=0.11",
     "deep-forest>=0.1.7",
-    "starboost==0.0.2",
-    "scikit-lexicographical-trees==0.0.2",
+    "scikit-lexicographical-trees==0.0.4",
 ]
 requires-python = ">=3.9,<3.10"
 readme = "README.md"
diff --git a/scikit_longitudinal/estimators/ensemble/lexicographical/lexico_gradient_boosting.py b/scikit_longitudinal/estimators/ensemble/lexicographical/lexico_gradient_boosting.py
index 69b3117..d680ba4 100644
--- a/scikit_longitudinal/estimators/ensemble/lexicographical/lexico_gradient_boosting.py
+++ b/scikit_longitudinal/estimators/ensemble/lexicographical/lexico_gradient_boosting.py
@@ -5,11 +5,8 @@
 import numpy as np
 from overrides import override
 from sklearn.utils.multiclass import unique_labels
-from starboost import BoostingClassifier
 
-from scikit_longitudinal.estimators.trees.lexicographical.lexico_decision_tree_regressor import (
-    LexicoDecisionTreeRegressor,
-)
+from sklearn.ensemble import GradientBoostingClassifier
 from scikit_longitudinal.templates import CustomClassifierMixinEstimator
 
 
@@ -137,7 +134,6 @@ def __init__(
         max_leaf_nodes: Optional[int] = None,
         min_impurity_decrease: float = 0.0,
         ccp_alpha: float = 0.0,
-        tree_flavor: bool = False,
         n_estimators: int = 100,
         learning_rate: float = 0.1,
     ):
@@ -154,12 +150,10 @@ def __init__(
         self.min_impurity_decrease = min_impurity_decrease
         self.ccp_alpha = ccp_alpha
         self.random_state = random_state
-        self.tree_flavor = tree_flavor
         self.n_estimators = n_estimators
         self.learning_rate = learning_rate
 
         self._lexico_gradient_boosting = None
-        self._base_estimator = None
         self.classes_ = None
 
     @ensure_valid_state
@@ -181,29 +175,10 @@ def _fit(self, X: np.ndarray, y: np.ndarray) -> "LexicoGradientBoostingClassifie
                 If there are less than or equal to 1 feature group.
 
         """
-        _base_estimator = LexicoDecisionTreeRegressor(
-            features_group=self.features_group,
-            threshold_gain=self.threshold_gain,
-            criterion=self.criterion,
+        self._lexico_gradient_boosting = GradientBoostingClassifier(
             splitter=self.splitter,
-            max_depth=self.max_depth,
-            min_samples_split=self.min_samples_split,
-            min_samples_leaf=self.min_samples_leaf,
-            min_weight_fraction_leaf=self.min_weight_fraction_leaf,
-            max_features=self.max_features,
-            random_state=self.random_state,
-            max_leaf_nodes=self.max_leaf_nodes,
-            min_impurity_decrease=self.min_impurity_decrease,
-            ccp_alpha=self.ccp_alpha,
-        )
-
-        self._base_estimator = _base_estimator
-        self._lexico_gradient_boosting = BoostingClassifier(
-            base_estimator=_base_estimator,
-            n_estimators=self.n_estimators,
-            learning_rate=self.learning_rate,
-            tree_flavor=self.tree_flavor,
-            random_state=self.random_state,
+            threshold_gain=self.threshold_gain,
+            features_group=self.features_group,
         )
 
         if self.classes_ is None:
@@ -242,3 +217,14 @@ def _predict_proba(self, X: np.ndarray) -> np.ndarray:
 
         """
         return self._lexico_gradient_boosting.predict_proba(X)
+
+    @property
+    def feature_importances_(self) -> np.ndarray:
+        """Return the feature importances.
+
+        Returns:
+            np.ndarray:
+                The feature importances.
+
+        """
+        return self._lexico_gradient_boosting.feature_importances_
diff --git a/setup.py b/setup.py
index 4fcc4fa..bd35b0f 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(  # pragma: no cover
     name="Scikit-longitudinal",
-    version="0.0.5",
+    version="0.0.6",
     long_description=open('README.md').read(),
     long_description_content_type='text/markdown',
     url="https://github.com/simonprovost/scikit-longitudinal",