Updated in Colaboratory

ziatdinovmax · Apr 3, 2020 · 6946a94 · 6946a94
1 parent e013abd
commit 6946a94
Showing 1 changed file with 18 additions and 18 deletions.
diff --git a/examples/notebooks/GP_sparse2Dimages.ipynb b/examples/notebooks/GP_sparse2Dimages.ipynb
@@ -22,7 +22,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/ziatdinovmax/GPim/blob/dev/examples/notebooks/GP_sparse2Dimages.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/ziatdinovmax/GPim/blob/master/examples/notebooks/GP_sparse2Dimages.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -60,10 +60,10 @@
         "id": "dKN8pVmC7iSO",
         "colab_type": "code",
         "cellView": "form",
-        "outputId": "4e87c805-667f-418e-b29d-c354d0305874",
+        "outputId": "36bc11df-039b-4de6-8cc0-482b472c90fe",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 90
+          "height": 87
         }
       },
       "source": [
@@ -85,8 +85,8 @@
         {
           "output_type": "stream",
           "text": [
-            "\u001b[K     |████████████████████████████████| 501kB 2.9MB/s \n",
-            "\u001b[K     |████████████████████████████████| 235kB 42.3MB/s \n",
+            "\u001b[K     |████████████████████████████████| 501kB 6.7MB/s \n",
+            "\u001b[K     |████████████████████████████████| 235kB 47.6MB/s \n",
             "\u001b[?25h  Building wheel for gpim (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
             "  Building wheel for gpytorch (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
           ],
@@ -109,7 +109,7 @@
       "metadata": {
         "id": "X_BFloHFz8cX",
         "colab_type": "code",
-        "outputId": "e872479b-ce1c-466e-e7ac-95cfef8fe22f",
+        "outputId": "6c9707bd-a444-4369-bb49-dc0ed1f9eb48",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 483
@@ -120,7 +120,7 @@
         "plt.figure(figsize=(8, 8))\n",
         "plt.imshow(imgdata, origin='bottom');"
       ],
-      "execution_count": 13,
+      "execution_count": 2,
       "outputs": [
         {
           "output_type": "display_data",
@@ -151,7 +151,7 @@
       "metadata": {
         "id": "lEkWK9bWaNAH",
         "colab_type": "code",
-        "outputId": "9d5a2906-8c8f-4ebc-c674-daa6a45fe4fb",
+        "outputId": "3c952084-947d-428c-fd56-b0451dbee9ce",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 483
@@ -163,7 +163,7 @@
         "plt.figure(figsize=(8, 8))\n",
         "plt.imshow(R, origin='bottom');"
       ],
-      "execution_count": 14,
+      "execution_count": 3,
       "outputs": [
         {
           "output_type": "display_data",
@@ -218,7 +218,7 @@
       "metadata": {
         "id": "a4okYeUxEGzM",
         "colab_type": "code",
-        "outputId": "2696e9d8-23c1-480b-e103-ea3d04fcd0fd",
+        "outputId": "66454aac-4a08-4bdd-dc87-124d52f9c046",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 1000
@@ -243,15 +243,15 @@
         "gprutils.plot_kernel_hyperparams(hyperparams)\n",
         "gprutils.plot_inducing_points(hyperparams)"
       ],
-      "execution_count": 10,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
             "# of inducing points for sparse GP regression: 1053\n",
             "Model training...\n",
-            "average time per iteration: 0.0583 s\n",
-            "training completed in 16.72 s\n",
+            "average time per iteration: 0.06559999999999999 s\n",
+            "training completed in 19.09 s\n",
             "Final parameter values:\n",
             " amp: 0.048, lengthscale: [3.8383 2.9884], noise: 0.0056217\n",
             "Calculating predictive mean and variance... Done\n"
@@ -311,10 +311,10 @@
       "metadata": {
         "id": "_EG0vezmG2Gu",
         "colab_type": "code",
-        "outputId": "f93c67a9-6ba6-45ad-e1a9-b61ac56a36c2",
+        "outputId": "903b9b77-8293-4a3a-98a3-b27a4148e9e2",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 930
+          "height": 922
         }
       },
       "source": [
@@ -331,14 +331,14 @@
         "gprutils.plot_reconstructed_data2d(R, mean, cmap='viridis')\n",
         "gprutils.plot_kernel_hyperparams(hyperparams)"
       ],
-      "execution_count": 12,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
             "Model training...\n",
-            "average time per iteration: 0.286 s\n",
-            "training completed in 50.93 s\n",
+            "average time per iteration: 0.383 s\n",
+            "training completed in 66.43 s\n",
             "Final parameter values:\n",
             " lengthscale: [2.7024 2.7024], noise: 0.0024733\n",
             "Calculating predictive mean and uncertainty...\n",