Add Colab link to tutorials

tutorials/Convert_NASA_Data_to_Orion_Format.ipynb

@@ -1,5 +1,14 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/notebook-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1kJRmrb8ONg7vLMhdeCiP3aNntPCn8vZk?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1kJRmrb8ONg7vLMhdeCiP3aNntPCn8vZk?usp=drive_link) verion of the notebook!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -577,7 +586,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

tutorials/Convert_UCR_Data_to_Orion_Format.ipynb

@@ -1,5 +1,28 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "34ffe5a3-f269-4630-af59-05af2f656400",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/notebook-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1QsYjUX3DgS8ccvDtxEgLeHHmbtPViIqV?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1QsYjUX3DgS8ccvDtxEgLeHHmbtPViIqV?usp=drive_link) verion of the notebook!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f48bfa5b-05ca-493e-a892-0eff6dbcb4a6",
+   "metadata": {},
+   "source": [
+    "# Convert UCR data to Orion format\n",
+    "\n",
+    "In this notebook we download the data and reformat it\n",
+    "as Orion pipelines expect.\n",
+    "\n",
+    "### Download the data"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -667,7 +690,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

tutorials/Evaluating_an_Orion_Pipeline.ipynb

@@ -1,5 +1,14 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1DZX5GDDP99gUlGLBos1sKwpapi8PQTIv?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1DZX5GDDP99gUlGLBos1sKwpapi8PQTIv?usp=drive_link) verion of the notebook!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -144,9 +153,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stderr",
@@ -360,7 +367,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -374,9 +381,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.10"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

tutorials/Orion_on_Custom_Data.ipynb

@@ -1,5 +1,14 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1oYTqKe7GGIgvB7VffH0xllg77zUBpd7S?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1oYTqKe7GGIgvB7VffH0xllg77zUBpd7S?usp=drive_link) verion of the notebook!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -406,7 +415,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

tutorials/Orion_with_Multivariate_Input.ipynb

@@ -1,5 +1,14 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue)](https://colab.research.google.com/drive/1kOcfkr054oQkxxXUv9HlZbAk1QluFBjY?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1kOcfkr054oQkxxXUv9HlZbAk1QluFBjY?usp=drive_link) verion of the notebook!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -484,7 +493,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.16"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,

tutorials/tulog/Tulog.ipynb

@@ -1,5 +1,14 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![Static Badge](https://img.shields.io/badge/tulog-open_in_colab-blue?style=flat&logo=googlecolab&color=blue&link=https%3A%2F%2Fcolab.research.google.com%2Fdrive%2F1TVNK6HroahDeFFl06oOFYISt5JLLSSLO)](https://colab.research.google.com/drive/1TVNK6HroahDeFFl06oOFYISt5JLLSSLO?usp=drive_link)\n",
+    "\n",
+    "### We recommend using the [Google Colab](https://colab.research.google.com/drive/1TVNK6HroahDeFFl06oOFYISt5JLLSSLO?usp=drive_link) verion of the notebook!"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1346,9 +1355,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.16"
+   "version": "3.10.15"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }