Created using Colaboratory

Author: ebatty

Week10/Week10Tutorial2.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyNk3lwH1I5UBvtUCfCy6G+K"
+      "authorship_tag": "ABX9TyOp9OBOD7nMYmPOkl843SEX"
     },
     "kernelspec": {
       "name": "python3",
@@ -209,10 +209,10 @@
       "cell_type": "code",
       "metadata": {
         "id": "0dr0odDsd_Z8",
-        "outputId": "9f8abf66-c4e4-42d4-a0aa-5816dd8cdb69",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "9f8abf66-c4e4-42d4-a0aa-5816dd8cdb69"
       },
       "source": [
         "print(resps_train.shape)\n",
@@ -276,11 +276,11 @@
       ],
       "metadata": {
         "id": "89RmUIjlYOSS",
-        "outputId": "e9ec40c5-3235-40f1-e75f-721f700c5946",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 246
-        }
+        },
+        "outputId": "e9ec40c5-3235-40f1-e75f-721f700c5946"
       },
       "execution_count": 1,
       "outputs": [
@@ -480,7 +480,7 @@
       "cell_type": "code",
       "source": [
         "# Ridge/L2 regularization\n",
-        "l2_alphas = [0.01, 0.1, 1, 10, 100]\n",
+        "l2_alphas = [1, 10, 100, 1000, 10000, 100000]\n",
         "\n",
         "ridge_models = {}\n",
         "ridge_train_r2s = np.zeros((len(l2_alphas)))\n",
@@ -590,7 +590,7 @@
       "cell_type": "code",
       "source": [
         "# Lasso/L1 regularization\n",
-        "l1_alphas = [0.0005, 0.001, 0.005, 0.01, 0.1]\n",
+        "l1_alphas = [0.01, 0.1, 1, 10]\n",
         "\n",
         "lasso_models = {}\n",
         "lasso_train_r2s = np.zeros((len(l1_alphas)))\n",