tutorial 1 & 2 Jupyter Notebook files

Author: kshitij-maths

tutorials/tutorial-1.ipynb

@@ -31,6 +31,16 @@
     " - an approximation method to extrapolate the parametric solution for new parameters, in this tutorial we will use a radial basis function (RBF) interpolation."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install git+https://github.com/mathLab/EZyRB.git\n",
+    "!pip install -U datasets huggingface_hub fsspec"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -40,7 +50,6 @@
     "import numpy as np\n",
     "import matplotlib.tri as mtri\n",
     "import matplotlib.pyplot as plt\n",
-    "!pip install -U datasets huggingface_hub fsspec\n",
     "from ezyrb import POD, RBF, Database\n",
     "from ezyrb import ReducedOrderModel as ROM\n",
     "%matplotlib inline"
@@ -69,6 +78,7 @@
     }
    ],
    "source": [
+    "from datasets import load_dataset\n",
     "data_path = \"kshitij-pandey/termal_dataset\"\n",
     "snapshots_hf = load_dataset(data_path, \"snapshots\", split=\"train\")\n",
     "param_hf = load_dataset(data_path, \"params\", split=\"train\")\n",
@@ -317,7 +327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {
     "scrolled": true
    },
@@ -338,7 +348,7 @@
     }
    ],
    "source": [
-    "for pt, error in zip(rom.database.parameters, rom.loo_error()):\n",
+    "for pt, error in zip(rom.database.parameters_matrix, rom.loo_error()):\n",
     "    print(pt, error)"
    ]
   },

tutorials/tutorial-2.ipynb

@@ -33,11 +33,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2b772df3",
+   "id": "05f26f2c",
    "metadata": {},
    "outputs": [],
    "source": [
     "!pip install -U datasets huggingface_hub fsspec\n",
+    "!pip install git+https://github.com/mathLab/EZyRB.git"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2b772df3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "from datasets import load_dataset\n",
     "data_path = \"kshitij-pandey/navier_stokes_datasets\"\n",
     "snapshots_hf = load_dataset(data_path, \"snapshots_split\", split=\"train\")\n",