Add notebooks used for the thesis

pixi.lock

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+  sha256: 2189dfa0ec4bd04e01c1ad28d7ecf7b17ec50a1167f63fdbc9b398d4ad6b6145
   requires_dist:
-  - fastcore>=1.10.0
+  - fastcore>=1.12.16
   - python-dateutil
   - starlette>0.33
   - oauthlib
@@ -8126,11 +8087,11 @@ packages:
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   - typing-extensions>=4.4.0 ; python_full_version < '3.13'
   requires_python: '>=3.10'
-- pypi: https://files.pythonhosted.org/packages/79/b6/e6a5665d43a7c42467138c8a2549be432bad22cbd206f5ec87162de74bd7/regex-2026.1.15-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+- pypi: https://files.pythonhosted.org/packages/12/2f/049901def913954e640d199bbc6a7ca2902b6aeda0e5da9d17f114100ec2/regex-2026.2.28-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
   name: regex
-  version: 2026.1.15
+  version: 2026.2.28
-  sha256: 18388a62989c72ac24de75f1449d0fb0b04dfccd0a1a7c1c43af5eb503d890f6
+  sha256: e61eea47230eba62a31f3e8a0e3164d0f37ef9f40529fb2c79361bc6b53d2a92
-  requires_python: '>=3.9'
+  requires_python: '>=3.10'
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   name: requests
   version: 2.32.5
@@ -8286,6 +8247,16 @@ packages:
   - safetensors[testing] ; extra == 'all'
   - safetensors[all] ; extra == 'dev'
   requires_python: '>=3.9'
+- pypi: https://files.pythonhosted.org/packages/cc/22/14e7b20f7d11f3e9ea9b5ae6acf9ea695c423eee785906cd5c5914a841dc/scienceplots-2.2.1-py3-none-any.whl
+  name: scienceplots
+  version: 2.2.1
+  sha256: a1a9f670cbf5b59d92cdd3250be85b079ee4cf08bcaf2ace5ef57995be0b6c42
+  requires_dist:
+  - matplotlib
+  - pytest ; extra == 'test'
+  - numpy ; extra == 'test'
+  - scienceplots[test] ; extra == 'all'
+  requires_python: '>=3.8'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.7.2-py313h06d4379_0.conda
   sha256: 1867155e8c7d772ece3116a5ff6f970d129ef119a08a221fdd825a89b8be4a93
   md5: f9b838aa75bd584fb85f46686f4f1453
@@ -8583,10 +8554,10 @@ packages:
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   - matplotlib>=3.10.0 ; extra == 'viz'
   requires_python: '>=3.11'
-- pypi: https://files.pythonhosted.org/packages/ad/95/bc978be7ea0babf2fb48a414b6afaad414c6a9e8b1eafc5b8a53c030381a/smart_open-7.5.0-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/5e/ea/dcdecd68acebb49d3fd560473a43499b1635076f7f1ae8641c060fe7ce74/smart_open-7.5.1-py3-none-any.whl
   name: smart-open
-  version: 7.5.0
+  version: 7.5.1
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+  sha256: 3e07cbbd9c8a908bcb8e25d48becf1a5cbb4886fa975e9f34c672ed171df2318
   requires_dist:
   - wrapt
   - boto3>=1.9.17 ; extra == 's3'
@@ -8612,7 +8583,7 @@ packages:
   - pyopenssl ; extra == 'test'
   - numpy ; extra == 'test'
   - flake8 ; extra == 'test'
-  requires_python: '>=3.9,<4.0'
+  requires_python: '>=3.10,<4.0'
 - pypi: https://files.pythonhosted.org/packages/04/be/d09147ad1ec7934636ad912901c5fd7667e1c858e19d355237db0d0cd5e4/smmap-5.0.2-py3-none-any.whl
   name: smmap
   version: 5.0.2
@@ -8746,6 +8717,40 @@ packages:
   - python-multipart>=0.0.18 ; extra == 'full'
   - pyyaml ; extra == 'full'
   requires_python: '>=3.10'
+- pypi: https://files.pythonhosted.org/packages/10/b9/fd41f1f6af13a1a1212a06bb377b17762feaa6d656947bf666f76300fc05/statsmodels-0.14.6-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
+  name: statsmodels
+  version: 0.14.6
+  sha256: 730f3297b26749b216a06e4327fe0be59b8d05f7d594fb6caff4287b69654589
+  requires_dist:
+  - numpy>=1.22.3,<3
+  - scipy>=1.8,!=1.9.2
+  - pandas>=1.4,!=2.1.0
+  - patsy>=0.5.6
+  - packaging>=21.3
+  - cython>=3.0.10 ; extra == 'build'
+  - cython>=3.0.10 ; extra == 'develop'
+  - cython>=3.0.10,<4 ; extra == 'develop'
+  - setuptools-scm[toml]~=8.0 ; extra == 'develop'
+  - matplotlib>=3 ; extra == 'develop'
+  - colorama ; extra == 'develop'
+  - joblib ; extra == 'develop'
+  - jinja2 ; extra == 'develop'
+  - pytest>=7.3.0,<8 ; extra == 'develop'
+  - pytest-randomly ; extra == 'develop'
+  - pytest-xdist ; extra == 'develop'
+  - pytest-cov ; extra == 'develop'
+  - pywinpty ; os_name == 'nt' and extra == 'develop'
+  - flake8 ; extra == 'develop'
+  - isort ; extra == 'develop'
+  - sphinx ; extra == 'docs'
+  - nbconvert ; extra == 'docs'
+  - jupyter-client ; extra == 'docs'
+  - ipykernel ; extra == 'docs'
+  - matplotlib ; extra == 'docs'
+  - nbformat ; extra == 'docs'
+  - numpydoc ; extra == 'docs'
+  - pandas-datareader ; extra == 'docs'
+  requires_python: '>=3.9'
 - pypi: https://files.pythonhosted.org/packages/f7/45/8c4ebc0c460e6ec38e62ab245ad3c7fc10b210116cea7c16d61602aa9558/stevedore-5.4.1-py3-none-any.whl
   name: stevedore
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@@ -8953,10 +8958,10 @@ packages:
   - packaging
   - protobuf>=3.20
   requires_python: '>=3.9'
-- pypi: https://files.pythonhosted.org/packages/d3/be/e191c2a15da20530fde03564564e3e4b4220eb9d687d4014957e5c6a5e85/textual-8.0.0-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/a2/23/40e0019fa60d1e83123b72e3201879b32d68a0d6358b3588d23705107921/textual-8.0.1-py3-none-any.whl
   name: textual
-  version: 8.0.0
+  version: 8.0.1
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+  sha256: 6b7522c2bc1a3ab90f534144b7e0ca6e25d35c80942ef92ccfb42a54e945d581
   requires_dist:
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   - mdit-py-plugins
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   - pkg:pypi/threadpoolctl?source=hash-mapping
   size: 23869
   timestamp: 1741878358548
-- pypi: https://files.pythonhosted.org/packages/48/06/a8e97165d82f866a40117f213d2f8a32f297c9c76ec9c16a1a2c680e0f59/tifffile-2026.2.16-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/ee/fe/80250dc06cd4a3a5afe7059875a8d53e97a78528c5dd9ea8c3f981fb897a/tifffile-2026.2.24-py3-none-any.whl
   name: tifffile
-  version: 2026.2.16
+  version: 2026.2.24
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+  sha256: 38ef6258c2bd8dd3551c7480c6d75a36c041616262e6cd55a50dd16046b71863
   requires_dist:
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   - defusedxml ; extra == 'xml'
   - lxml ; extra == 'xml'
-  - zarr>=3.1.3 ; extra == 'zarr'
+  - zarr>=3.1.5 ; extra == 'zarr'
   - fsspec ; extra == 'zarr'
   - kerchunk ; extra == 'zarr'
   - matplotlib ; extra == 'plot'
@@ -9054,7 +9059,7 @@ packages:
   - matplotlib ; extra == 'all'
   - defusedxml ; extra == 'all'
   - lxml ; extra == 'all'
-  - zarr>=3.1.3 ; extra == 'all'
+  - zarr>=3.1.5 ; extra == 'all'
   - fsspec ; extra == 'all'
   - kerchunk ; extra == 'all'
   - cmapfile ; extra == 'test'
@@ -9073,7 +9078,7 @@ packages:
   - requests ; extra == 'test'
   - roifile ; extra == 'test'
   - xarray ; extra == 'test'
-  - zarr>=3.1.3 ; extra == 'test'
+  - zarr>=3.1.5 ; extra == 'test'
   requires_python: '>=3.11'
 - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_ha0e22de_103.conda
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@@ -9836,10 +9841,10 @@ packages:
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   requires_python: '>=3.8'
-- pypi: https://files.pythonhosted.org/packages/85/d0/4da85c2a45054bb661993c93524138ace4956cb075a7ae0c9d1deadc331b/typer-0.24.0-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/4a/91/48db081e7a63bb37284f9fbcefda7c44c277b18b0e13fbc36ea2335b71e6/typer-0.24.1-py3-none-any.whl
   name: typer
-  version: 0.24.0
+  version: 0.24.1
-  sha256: 5fc435a9c8356f6160ed6e85a6301fdd6e3d8b2851da502050d1f92c5e9eddc8
+  sha256: 112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e
   requires_dist:
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   - shellingham>=1.3.0
@@ -9937,10 +9942,10 @@ packages:
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   size: 508347
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-- pypi: https://files.pythonhosted.org/packages/36/48/33f00ffd1c62ca4e66f91024049107b7b372fda7bbe4d20e6a492a39ff02/ultraplot-2.0.1-py3-none-any.whl
+- pypi: https://files.pythonhosted.org/packages/f0/22/986a0cc5e42b2087a3f4ec798749d24268df0ed1c3cc37c9726de1d9b0c6/ultraplot-2.1.2-py3-none-any.whl
   name: ultraplot
-  version: 2.0.1
+  version: 2.1.2
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pyproject.toml

@@ -70,7 +70,7 @@ dependencies = [
     "autogluon-tabular[all,mitra,realmlp,interpret,fastai,tabm,tabpfn,tabdpt,tabpfnmix,tabicl,skew,imodels]>=1.5.0",
     "shap>=0.50.0,<0.51",
     "h5py>=3.15.1,<4",
-    "pydantic>=2.12.5,<3", "nbformat>=5.10.4,<6", "fastcluster>=1.3.0,<2",
+    "pydantic>=2.12.5,<3", "nbformat>=5.10.4,<6", "fastcluster>=1.3.0,<2", "statsmodels>=0.14.6,<0.15", "scienceplots>=2.2.1,<3", "pypst>=0.8.0,<0.9",
 ]
 
 [project.scripts]

src/entropice/utils/training.py

@@ -141,11 +141,10 @@ class Training:
         else:
             return None
 
-    @property
     def get_state(self) -> xr.Dataset | pd.DataFrame | None:
         """Get the inner state of the trained model, if available."""
         if self.model_type == "espa":
-            return extract_espa_state(self.model, self.training_set)
+            return extract_espa_state(self.model.named_steps["model"], self.training_set)
         else:
             return None