Merge pull request #16 from Leona-LYT/main

fix layout issue

Author: statmlben

doc/source/examples/Path_solution.ipynb

@@ -15,12 +15,12 @@
         "id": "J7xL_K8gBmyx"
       },
       "source": [
-        "### We use the simulated data together with different `loss` function and `constraint` to solve the optimization problem. Meanwhile, a plot of path solution concerning different C values will be displayed.\n",
+        "[![Slides](https://img.shields.io/badge/🦌-ReHLine-blueviolet)](https://rehline-python.readthedocs.io/en/latest/)\n",
         "\n",
-        "\n",
-        "*  All the following test used `warm-start` technique.\n",
+        "We use the simulated data together with different `loss` function and `constraint` to solve the optimization problem. Meanwhile, a plot of path solution concerning different C values will be displayed.\n",
         "\n",
         "\n",
+        "*  All the following test used `warm-start` technique.\n",
         "\n"
       ]
     },
@@ -30,7 +30,7 @@
         "id": "I5W3Bs0PGsZ3"
       },
       "source": [
-        "### We first run a SVM with `nonnegative` constraint"
+        "#### SVM with `nonnegative` constraint"
       ]
     },
     {
@@ -142,7 +142,7 @@
         "id": "f8bC1orCGC8c"
       },
       "source": [
-        "###  Then try SVM with `fair` constraint"
+        "#### SVM with `fair` constraint"
       ]
     },
     {
@@ -269,12 +269,12 @@
         "id": "gBJKC2i3QvRf"
       },
       "source": [
-        "### Moreover, we tried `Quantile regression` without any constraint"
+        "#### `Quantile regression` without any constraint"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "metadata": {
         "id": "CHl2pnAgP22T"
       },
@@ -297,7 +297,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "id": "xkbOmo6ORSju"
       },
@@ -312,7 +312,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",

doc/source/examples/Warm_start.ipynb

@@ -15,12 +15,14 @@
         "id": "xHMXYL9ebbgA"
       },
       "source": [
-        "### Now we use the dataset \"madelon\" and compare the time executed with and without `warm-start` technique\n"
+        "[![Slides](https://img.shields.io/badge/🦌-ReHLine-blueviolet)](https://rehline-python.readthedocs.io/en/latest/)\n",
+        "\n",
+        "Now we use the dataset \"madelon\" and compare the time executed with and without `warm-start` technique\n"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": null,
       "metadata": {
         "id": "BUs9CUEutZTf"
       },
@@ -35,7 +37,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 4,
+      "execution_count": null,
       "metadata": {
         "id": "HczbGdJrAGEE"
       },
@@ -55,7 +57,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 5,
+      "execution_count": null,
       "metadata": {
         "collapsed": true,
         "id": "p-F6g4M9Fqdg"
@@ -69,7 +71,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 8,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -157,7 +159,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -215,7 +217,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 9,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -278,13 +280,14 @@
       },
       "source": [
         "## Time comparison\n",
-        "### The above summary table shows the `warm-start` solver is 3.20 times faster than the `cold-start` solver.\n",
-        "### The warm-start solver also consistently reaches optimal results within the maximum iteration limit, which the cold-start solver doesn't. This means the actual speedup from warm-starting is likely even higher."
+        "The above summary table shows the `warm-start` solver is **3.20 times faster** than the `cold-start` solver.\n",
+        "\n",
+        "The warm-start solver also consistently reaches optimal results within the maximum iteration limit, which the cold-start solver doesn't. This means the actual speedup from warm-starting is likely even higher."
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 10,
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",