0.10.22

visualize nn

Author: bartzbeielstein

notebooks/00_spotPython_tests.ipynb

@@ -2435,6 +2435,66 @@
         "spot_tuner.run()"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import pandas as pd\n",
+        "import pytest\n",
+        "import torch\n",
+        "from pyhcf.data.loadHcfData import build_df, load_hcf_data\n",
+        "from torch.utils.data import DataLoader"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Batch Size: 5\n",
+            "Inputs Shape: 3\n",
+            "P List: ['L', 'AQ', 'AS', 'T']\n",
+            "P List Length: 4\n",
+            "Targets Shape: 5\n"
+          ]
+        }
+      ],
+      "source": [
+        "p_list=[\"L\", \"AQ\", \"AS\"]\n",
+        "dataset = load_hcf_data(param_list=p_list, target=\"T\",\n",
+        "                        rmNA=True, rmMF=True,\n",
+        "                        load_all_features=False,\n",
+        "                        load_thermo_features=False,\n",
+        "                        scale_data=True,\n",
+        "                        return_X_y=False)\n",
+        "assert isinstance(dataset, torch.utils.data.TensorDataset)\n",
+        "assert len(dataset) > 0\n",
+        "# Set batch size for DataLoader\n",
+        "batch_size = 5\n",
+        "# Create DataLoader    \n",
+        "dataloader = DataLoader(dataset, batch_size=batch_size, shuffle=False)\n",
+        "# Iterate over the data in the DataLoader\n",
+        "for batch in dataloader:\n",
+        "    inputs, targets = batch\n",
+        "    print(f\"Batch Size: {inputs.size(0)}\")\n",
+        "    assert inputs.size(0) == batch_size\n",
+        "    print(f\"Inputs Shape: {inputs.shape[1]}\")\n",
+        "    print(f\"P List: {p_list}\")\n",
+        "    print(f\"P List Length: {len(p_list)}\")\n",
+        "    # input is p_list + 1 (for target)\n",
+        "    # p_list = [\"L\", \"AQ\", \"AS\"] plus target \"N\"\n",
+        "    assert inputs.shape[1] + 1 == len(p_list)\n",
+        "    print(f\"Targets Shape: {targets.shape[0]}\")\n",
+        "    assert targets.shape[0] == batch_size\n",
+        "    break"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotPython"
-version = "0.10.20"
+version = "0.10.22"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]