diff --git a/README.md b/README.md
index 60105745..b2959a79 100644
--- a/README.md
+++ b/README.md
@@ -22,9 +22,9 @@ The package provides ready-to-use datasets and models studied in the academic li
 
 Choice-Learn uses NumPy and pandas as data backend engines and TensorFlow for models.
 
-## Table of Contents
+## :trident: Table of Contents
   - [Introduction - Discrete Choice Modelling](#introduction---discrete-choice-modelling)
-  - [What's in there ?](#whats-in-there)
+  - [What's in there ?](#whats-in-there-)
   - [Getting Started](#getting-started)
   - [Installation](#installation)
   - [Usage](#usage)
@@ -32,13 +32,13 @@ Choice-Learn uses NumPy and pandas as data backend engines and TensorFlow for mo
   - [Contributing](#contributing)
   - [Citation](#citation)
 
-## Introduction - Discrete Choice Modelling
+## :trident: Introduction - Discrete Choice Modelling
 
 Discrete choice models aim at explaining or predicting choices over a set of alternatives. Well known use-cases include analyzing people's choice of mean of transport or products purchases in stores.
 
 If you are new to choice modelling, you can check this [resource](https://www.publichealth.columbia.edu/research/population-health-methods/discrete-choice-model-and-analysis). The different notebooks from the [Getting Started](#getting-started---fast-track) section can also help you understand choice modelling and more importantly help you for your usecase.
 
-## What's in there ?
+## :trident: What's in there ?
 
 ### Data
 - Generic dataset handling with the ChoiceDataset class [[Example]](notebooks/introduction/2_data_handling.ipynb)
@@ -63,7 +63,7 @@ If you are new to choice modelling, you can check this [resource](https://www.pu
 ### Auxiliary tools
 - Assortment & Pricing optimization algorithms [[Example]](notebooks/auxiliary_tools/assortment_example.ipynb) [[8]](#citation)
 
-## Getting Started
+## :trident: Getting Started
 
 You can find the following tutorials to help you getting started with the package:
 - Generic and simple introduction [[notebook]](notebooks/introduction/1_introductive_example.ipynb)[[doc]](https://expert-dollop-1wemk8l.pages.github.io/notebooks/introduction/1_introductive_example/)
@@ -71,7 +71,7 @@ You can find the following tutorials to help you getting started with the packag
 - A detailed example of conditional logit estimation [[notebook]](notebooks/introduction/3_model_clogit.ipynb)[[doc]](https://expert-dollop-1wemk8l.pages.github.io/notebooks/introduction/3_model_clogit/)
 - Introduction to custom modelling and more complex parametrization [[notebook]](notebooks/introduction/4_model_customization.ipynb)[[doc]](https://expert-dollop-1wemk8l.pages.github.io/notebooks/introduction/4_model_customization/)
 
-## Installation
+## :trident: Installation
 
 ### User installation
 
@@ -132,8 +132,9 @@ Finally for pricing or assortment optimization, you need either Gurobi or OR-Too
   </a>
 </p>
 
+> :bulb: **Tip:** You can use the poetry.lock or requirements-complete.txt files with poetry or pip to install a fully predetermined and working environment.
 
-## Usage
+## :trident: Usage
 Here is a short example of model parametrization to estimate a Conditional Logit on the SwissMetro dataset.
 
 ```python
@@ -178,12 +179,12 @@ print("The average neg-loglikelihood is:", model.evaluate(dataset).numpy())
 print(model.report)
 ```
 
-## Documentation
+## :trident: Documentation
 
 A detailed documentation of this project is available [here](https://artefactory.github.io/choice-learn/).\
 TensorFlow also has extensive [documentation](https://www.tensorflow.org/) that can help you.
 
-## Contributing
+## :trident: Contributing
 You are welcome to contribute to the project ! You can help in various ways:
 - raise issues
 - resolve issues already opened
@@ -194,7 +195,7 @@ You are welcome to contribute to the project ! You can help in various ways:
 
 We recommend to first open an [issue](https://github.com/artefactory/choice-learn/issues) to discuss your ideas. More details are given [here](./CONTRIBUTING.md).
 
-## Citation
+## :trident: Citation
 
 If you consider this package and any of its feature useful for your research, please cite us.
 
@@ -242,7 +243,7 @@ Choice-Learn has been developed through a collaboration between researchers at t
   </a>
 </p>
 
-## References
+## :trident: References
 
 ### Papers
 [1][Representing Random Utility Choice Models with Neural Networks](https://arxiv.org/abs/2207.12877), Aouad, A.; Désir, A. (2022)\
diff --git a/poetry.lock b/poetry.lock
index 0908936f..0df7647b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -90,13 +90,13 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "bandit"
-version = "1.7.8"
+version = "1.7.9"
 description = "Security oriented static analyser for python code."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "bandit-1.7.9.tar.gz", hash = "sha256:7c395a436743018f7be0a4cbb0a4ea9b902b6d87264ddecf8cfdc73b4f78ff61"},
 ]
 
 [package.dependencies]
@@ -153,13 +153,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.7.4"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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+    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
 ]
 
 [[package]]
@@ -408,63 +408,63 @@ test = ["pytest"]
 
 [[package]]
 name = "coverage"
-version = "7.5.3"
+version = "7.5.4"
 description = "Code coverage measurement for Python"
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 [[package]]
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 [[package]]
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 [package.extras]
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 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
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+version = "0.6.0"
 description = "Python AST that abstracts the underlying Python version"
 optional = false
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 [[package]]
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+    {file = "grpcio-1.64.1-cp39-cp39-win_amd64.whl", hash = "sha256:ed6091fa0adcc7e4ff944090cf203a52da35c37a130efa564ded02b7aff63bcd"},
+    {file = "grpcio-1.64.1.tar.gz", hash = "sha256:8d51dd1c59d5fa0f34266b80a3805ec29a1f26425c2a54736133f6d87fc4968a"},
 ]
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.64.0)"]
+protobuf = ["grpcio-tools (>=1.64.1)"]
 
 [[package]]
 name = "gurobipy"
@@ -868,22 +867,22 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.1.0"
+version = "8.0.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
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+    {file = "importlib_metadata-8.0.0.tar.gz", hash = "sha256:188bd24e4c346d3f0a933f275c2fec67050326a856b9a359881d7c2a697e8812"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "iniconfig"
@@ -898,13 +897,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.29.4"
+version = "6.29.5"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
+    {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
 ]
 
 [package.dependencies]
@@ -1093,13 +1092,13 @@ files = [
 
 [[package]]
 name = "keras"
-version = "3.3.3"
+version = "3.4.1"
 description = "Multi-backend Keras."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "keras-3.3.3-py3-none-any.whl", hash = "sha256:260df9ef71c6b89eb6816ce1c60f139c38ccdddd16f24e7005d2be127cdef8e4"},
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+    {file = "keras-3.4.1-py3-none-any.whl", hash = "sha256:15599c51e2090c12f39de6db6489a0cf265ddf6653f0731b82db5af2bfa19105"},
+    {file = "keras-3.4.1.tar.gz", hash = "sha256:34cd9aeaa008914715149234c215657ca758e1b473bd2aab2e211ac967d1f8fe"},
 ]
 
 [package.dependencies]
@@ -1109,6 +1108,7 @@ ml-dtypes = "*"
 namex = "*"
 numpy = "*"
 optree = "*"
+packaging = "*"
 rich = "*"
 
 [[package]]
@@ -1118,6 +1118,7 @@ description = "Clang Python Bindings, mirrored from the official LLVM repo: http
 optional = false
 python-versions = "*"
 files = [
+    {file = "libclang-18.1.1-1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a"},
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@@ -1353,13 +1354,13 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.25"
+version = "9.5.28"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "mkdocs_material-9.5.28-py3-none-any.whl", hash = "sha256:ff48b11b2a9f705dd210409ec3b418ab443dd36d96915bcba45a41f10ea27bfd"},
+    {file = "mkdocs_material-9.5.28.tar.gz", hash = "sha256:9cba305283ad1600e3d0a67abe72d7a058b54793b47be39930911a588fe0336b"},
 ]
 
 [package.dependencies]
@@ -1436,17 +1437,17 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.10.3"
+version = "1.10.5"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "mkdocstrings_python-1.10.5-py3-none-any.whl", hash = "sha256:92e3c588ef1b41151f55281d075de7558dd8092e422cb07a65b18ee2b0863ebb"},
+    {file = "mkdocstrings_python-1.10.5.tar.gz", hash = "sha256:acdc2a98cd9d46c7ece508193a16ca03ccabcb67520352b7449f84b57c162bdf"},
 ]
 
 [package.dependencies]
-griffe = ">=0.44"
+griffe = ">=0.47"
 mkdocstrings = ">=0.25"
 
 [[package]]
@@ -1605,18 +1606,15 @@ files = [
 
 [[package]]
 name = "nodeenv"
-version = "1.8.0"
+version = "1.9.1"
 description = "Node.js virtual environment builder"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
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+    {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"},
+    {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -1778,13 +1776,13 @@ protobuf = ">=4.23.3"
 
 [[package]]
 name = "packaging"
-version = "24.0"
+version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
 ]
 
 [[package]]
@@ -1958,13 +1956,13 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.45"
+version = "3.0.47"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1992,27 +1990,28 @@ files = [
 
 [[package]]
 name = "psutil"
-version = "5.9.8"
+version = "6.0.0"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
-files = [
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 ]
 
 [package.extras]
@@ -2467,13 +2466,13 @@ files = [
 
 [[package]]
 name = "requests"
-version = "2.32.2"
+version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
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+    {file = "tensorflow_io_gcs_filesystem-0.37.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:426de1173cb81fbd62becec2012fc00322a295326d90eb6c737fab636f182aed"},
+    {file = "tensorflow_io_gcs_filesystem-0.37.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0df00891669390078a003cedbdd3b8e645c718b111917535fa1d7725e95cdb95"},
 ]
 
 [package.extras]
@@ -2834,12 +2833,12 @@ tensorflow-rocm = ["tensorflow-rocm (>=2.16.0,<2.17.0)"]
 
 [[package]]
 name = "tensorflow-probability"
-version = "0.20.1"
+version = "0.22.1"
 description = "Probabilistic modeling and statistical inference in TensorFlow"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -2900,22 +2899,22 @@ files = [
 
 [[package]]
 name = "tornado"
-version = "6.4"
+version = "6.4.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">= 3.8"
+python-versions = ">=3.8"
 files = [
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+    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"},
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+    {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"},
+    {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"},
+    {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
 ]
 
 [[package]]
@@ -2955,24 +2954,24 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
 name = "urllib3"
-version = "2.2.1"
+version = "2.2.2"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
+    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
 ]
 
 [package.extras]
@@ -2983,13 +2982,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.26.2"
+version = "20.26.3"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"},
+    {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"},
 ]
 
 [package.dependencies]
@@ -3179,20 +3178,20 @@ files = [
 
 [[package]]
 name = "zipp"
-version = "3.19.0"
+version = "3.19.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.19.0-py3-none-any.whl", hash = "sha256:96dc6ad62f1441bcaccef23b274ec471518daf4fbbc580341204936a5a3dddec"},
-    {file = "zipp-3.19.0.tar.gz", hash = "sha256:952df858fb3164426c976d9338d3961e8e8b3758e2e059e0f754b8c4262625ee"},
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9.0"
-content-hash = "013c1f48d819ee139e327fda6d0349e87751a1dd7c870538394e6ea759667e85"
+content-hash = "d908d8568c72da55be10429b323d019023d67e8d6e6b38be8db99a6222e1c009"