From 72a76bcd338bf5a6766b6fe3b847bc4b0b13440e Mon Sep 17 00:00:00 2001
From: Maxim Ziatdinov <34245227+ziatdinovmax@users.noreply.github.com>
Date: Fri, 3 Apr 2020 10:52:28 -0400
Subject: [PATCH] Updated in Colaboratory

---
 examples/notebooks/GP_BEPFM.ipynb | 30 +++++++++++++++---------------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/examples/notebooks/GP_BEPFM.ipynb b/examples/notebooks/GP_BEPFM.ipynb
index 7382a5c..89cf46e 100644
--- a/examples/notebooks/GP_BEPFM.ipynb
+++ b/examples/notebooks/GP_BEPFM.ipynb
@@ -23,7 +23,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/ziatdinovmax/GPim/blob/dev/examples/notebooks/GP_BEPFM.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_BEPFM.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -147,7 +147,7 @@
         "# download training data\n",
         "!wget -qq -O 'BEPFM image_0001 - 128 x 128.h5' 'https://github.com/ziatdinovmax/GPim/blob/master/expdata/BEPFM%20image_0001%20-%20128%20x%20128.h5?raw=true'"
       ],
-      "execution_count": 1,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -235,7 +235,7 @@
         "hf = h5py.File(os.path.join(datadir, filename), 'r')\n",
         "inspect_dataset(hf)"
       ],
-      "execution_count": 3,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -354,7 +354,7 @@
         "print('reshaped data dimensions: {}'.format(raw_data.shape))\n",
         "#hf.close()"
       ],
-      "execution_count": 4,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -400,7 +400,7 @@
         "# Plotting\n",
         "gprutils.plot_raw_data(raw_data, slice_number, pos, spectral_window)"
       ],
-      "execution_count": 5,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -464,7 +464,7 @@
         "R_true = (R_true - np.amin(R_true))/np.ptp(R_true)\n",
         "gprutils.plot_raw_data(R_true, slice_number, pos, spectral_window)"
       ],
-      "execution_count": 6,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -510,7 +510,7 @@
         "X, R = gprutils.corrupt_data_xy(X_true, R_true, prob=remove_obs)\n",
         "gprutils.plot_raw_data(R, slice_number, pos, spectral_window, norm=True)"
       ],
-      "execution_count": 7,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -580,7 +580,7 @@
         ")\n",
         "mean, sd, hyperparams = reconstr.run()"
       ],
-      "execution_count": 8,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -627,7 +627,7 @@
       "source": [
         "gprutils.plot_kernel_hyperparams(hyperparams)"
       ],
-      "execution_count": 9,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -669,7 +669,7 @@
       "source": [
         "gprutils.plot_inducing_points(hyperparams, slice_step=2)"
       ],
-      "execution_count": 10,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -709,7 +709,7 @@
       "source": [
         "gprutils.plot_reconstructed_data3d(R, mean, sd, slice_number, pos, spectral_window)"
       ],
-      "execution_count": 11,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -864,7 +864,7 @@
         "    np.save(os.path.join(\n",
         "        SAVE_DIR, 'sgpr_bepfm_amax_4.npy'), uncert_idx_all)"
       ],
-      "execution_count": 13,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -2010,7 +2010,7 @@
         "    R_all, mean_all, sd_all, R_true, steps,\n",
         "    slice_number, pos, dist_edge, spec_window)"
       ],
-      "execution_count": 14,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -2081,7 +2081,7 @@
         "clrbar_.set_label('Exploration steps', fontsize=14, labelpad=10)\n",
         "plt.show()"
       ],
-      "execution_count": 15,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",
@@ -2142,7 +2142,7 @@
         "plt.legend(fontsize=16)\n",
         "plt.show()"
       ],
-      "execution_count": 16,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "display_data",