[FIX] fh range should begin at 1; dependencies

.gitignore

@@ -1,2 +1,3 @@
 venv/
 notebooks/lightning_logs/*
+uv.lock

.python-version

@@ -0,0 +1 @@
+3.13

README.md

@@ -79,4 +79,7 @@ To clone the repository locally:
 3. Install the requirements:
 `pip install -r requirements`
 4. If using jupyter: make the environment available in jupyter:
-`python -m ipykernel install --user --name=sktime_pydata`
+`python -m ipykernel install --user --name=sktime_pydata`
+
+### Using uv
+Just run: `uv sync`

notebooks/01_introduction.ipynb

@@ -50,22 +50,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x110561350>"
+       "<matplotlib.image.AxesImage at 0x125aa559590>"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
@@ -107,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -116,7 +116,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -155,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -165,7 +165,7 @@
        " <Axes: ylabel='Number of airline passengers'>)"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -206,7 +206,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "tutorial-haicon-prologue-day",
    "language": "python",
    "name": "python3"
   },
@@ -220,7 +220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,

notebooks/04_outro.ipynb

@@ -15,7 +15,7 @@
     "\n",
     "* Tutorials on binder https://mybinder.org/v2/gh/sktime/sktime/main?filepath=examples \n",
     "* Video intros https://www.youtube.com/playlist?list=PLKs3UgGjlWHqNzu0LEOeLKvnjvvest2d0\n",
-    "* `pip install sktime` or `conda install sktime`"
+    "* `pip install sktime` or `conda install sktime` or `uv add sktime`"
    ]
   },
   {
@@ -53,8 +53,14 @@
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "tutorial-haicon-prologue-day",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "name": "python",
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,

pyproject.toml

@@ -0,0 +1,22 @@
+[project]
+name = "tutorial-haicon-prologue-day"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = [
+    "accelerate>=1.8.1",
+    "einops>=0.8.1",
+    "gluonts>=0.16.2",
+    "hydra-core>=1.3.2",
+    "ipykernel>=6.29.5",
+    "ipywidgets>=8.1.7",
+    "litmodels>=0.1.8",
+    "matplotlib>=3.10.3",
+    "orjson>=3.10.18",
+    "pytorch-forecasting>=1.4.0",
+    "seaborn>=0.13.2",
+    "sktime>=0.38.3",
+    "statsmodels>=0.14.5",
+    "transformers>=4.53.1",
+]