Merge pull request #193 from Nam-dada/evoxtorch-dev-ynw

Add link for examples
EMI-Group · Jan 13, 2025 · 4957c6d · 4957c6d
2 parents a1b382b + 8639f8c
commit 4957c6d
Showing 1 changed file with 17 additions and 15 deletions.
diff --git a/docs/source/example/moalg.ipynb b/docs/source/example/moalg.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -62,12 +62,12 @@
    "metadata": {},
    "source": [
     "## Running example: RVEA on DTLZ2 problem\n",
-    "The following code is used to set up the DTLZ2 problem and the RVEA algorithm. More information about the problem and algorithm can be found in the corresponding section of the documentation."
+    "The following code is used to set up the [`DTLZ2`](#evox.problems.numerical.dtlz) problem and the [`RVEA`](#evox.algorithms.mo.rvea) algorithm. More information about the problem and algorithm can be found in the corresponding section of the documentation."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,23 +89,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "tensor(0.4746, device='cuda:0')\n",
-      "tensor(0.1650, device='cuda:0')\n",
-      "tensor(0.0902, device='cuda:0')\n",
-      "tensor(0.0653, device='cuda:0')\n",
-      "tensor(0.0586, device='cuda:0')\n",
-      "tensor(0.0564, device='cuda:0')\n",
-      "tensor(0.0559, device='cuda:0')\n",
-      "tensor(0.0551, device='cuda:0')\n",
+      "tensor(0.4481, device='cuda:0')\n",
+      "tensor(0.1465, device='cuda:0')\n",
+      "tensor(0.0854, device='cuda:0')\n",
+      "tensor(0.0647, device='cuda:0')\n",
+      "tensor(0.0592, device='cuda:0')\n",
+      "tensor(0.0574, device='cuda:0')\n",
+      "tensor(0.0562, device='cuda:0')\n",
+      "tensor(0.0553, device='cuda:0')\n",
+      "tensor(0.0550, device='cuda:0')\n",
       "tensor(0.0546, device='cuda:0')\n",
-      "tensor(0.0544, device='cuda:0')\n"
+      "tensor(0.0544, device='cuda:0')\n",
+      "tensor(0.0543, device='cuda:0')\n"
      ]
     }
    ],
@@ -117,7 +119,7 @@
     "        workflow.step()\n",
     "        fit = workflow.algorithm.fit\n",
     "        fit = fit[~torch.isnan(fit).any(dim=1)]\n",
-    "        if i % 10 == 0:\n",
+    "        if i % 9 == 0:\n",
     "          print(igd(fit, pf))"
    ]
   },