article

Author: xadupre

_doc/articles/2025/2025-03-01-route2025.rst

@@ -174,6 +174,8 @@ Séance 5 (6/3)
 
 **séries temporelles**
 
+`Foundation Models for Time Series Analysis: A Tutorial and Survey <https://arxiv.org/pdf/2403.14735>`_
+
 Le modèle de référence est :epkg:`statsmodels`
 
 * :ref:`Single Spectrum Analysis (SSA) <nbl-practice-ml-timeseries_ssa>`
@@ -197,10 +199,16 @@ fériés.
 **Deep Learning**
 
 * `DeepAR <https://arxiv.org/abs/1704.04110>`_
+  (code `Autoregressive modelling with DeepAR and DeepVAR
+  <https://pytorch-forecasting.readthedocs.io/en/stable/tutorials/deepar.html#>`_)
+* `Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities <https://arxiv.org/html/2402.10835v1>`_
+* `Time-LLM: Time Series Forecasting by Reprogramming Large Language Models <https://arxiv.org/abs/2310.01728>`_
 * temps réel
 
 Evaluation
 ==========
 
 * https://defis.data.gouv.fr/
+* le projet doit inclure au moins un graphe
+  *Partial Dependence* ou *Permutation Importance* (voir liens ci-dessus)
 * soutenance 11 avril 9h-13h

_doc/conf.py

@@ -1,12 +1,10 @@
-# coding: utf-8
 import os
 import sys
-
 from sphinx_runpython.conf_helper import has_dvipng, has_dvisvgm
 from sphinx_runpython.github_link import make_linkcode_resolve
-
 from teachpyx import __version__
 
+
 extensions = [
     "nbsphinx",
     "sphinx.ext.autodoc",
@@ -44,7 +42,7 @@
 source_suffix = ".rst"
 master_doc = "index"
 project = "teachpyx"
-copyright = "2016-2024, Xavier Dupré"
+copyright = "2016-2025, Xavier Dupré"
 author = "Xavier Dupré"
 version = __version__
 release = __version__