added layout

book/_config.yml

@@ -13,6 +13,10 @@ html:
   use_issues_button: true
   use_repository_button: true
   home_page_in_navbar: false
+  logo_only: true
+  primary_color: "blue"
+  search_bar_text: "Search this book..."
+  navbar_align: "left"
   # google_analytics_id: G-XXXXXXXXX
 
 parse:

book/_toc.yml

@@ -13,54 +13,60 @@ parts:
 - caption: Chapter One
   chapters:
     - file: chapters/motivation
+      title: Motivation
 
 - caption: Chapter Two
   chapters:
-    - file: chapters/methods
+    - file: chapters/overview
+      title: Overview of the SWE Workflow
 
 - caption: Chapter Three
   chapters:
-    - file: chapters/data
+    - file: chapters/datasource
+      title: Data Source
+    - file: chapters/gridmet
+      title: GridMET
+    - file: chapters/snotel
+      title: SNOTEL
+    - file: chapters/fsCA
+      title: MODIS for fsCA
+    - file: chapters/dem
+      title: Digital Elevation Model
 
 - caption: Chapter Four
   chapters:
-    - file: chapters/development
+    - file: chapters/feat_selection
+      title: Feature Selection
 
 - caption: Chapter Five
   chapters:
-    - file: chapters/training
+    - file: chapters/time_series
+      title: Cumulative Time series analysis
 
 - caption: Chapter Six
   chapters:
-    - file: chapters/evaluation
+    - file: chapters/sanity_checks
+      title: Workflow Sanity Checks
 
 - caption: Chapter Seven
   chapters:
-    - file: chapters/workflow
+    - file: chapters/model_training
+      title: Model Training
 
 - caption: Chapter Eight
   chapters:
-    - file: chapters/reproducibility
+    - file: chapters/validation
+      title: Model Testing & Validation
 
 - caption: Chapter Nine
   chapters:
-    - file: chapters/conclusion
-
-- caption: Chapter Ten (optional)
-  chapters:
-    - file: chapters/todo
-
-- caption: Chapter Eleven (optional)
-  chapters:
-    - file: chapters/questions
-
-- caption: Chapter Twelve (optional)
-  chapters:
-    - file: chapters/troubleshooting
+    - file: chapters/predictions
+      title: Model Predictions / Results
 
-- caption: Chapter Thirteen
+- caption: Chapter Ten
   chapters:
-    - file: chapters/example
+    - file: chapters/conclusion
+      title: Conclusion
 
 - caption: Reference
   chapters:

book/chapters/amsr.ipynb

@@ -0,0 +1,35 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

book/chapters/conclusion.ipynb

@@ -1,30 +1,14 @@
 {
  "cells": [
   {
-   "attachments": {},
    "cell_type": "markdown",
+   "source": [
+    "# Conclusion"
+   ],
    "metadata": {
-    "tags": []
+    "collapsed": false
    },
-   "source": [
-    "# Discussion / Conclusion \n",
-    "\n",
-    "### Conclusion\n",
-    "\n",
-    "Is ML the right tool for the research?/How to identify the best ML tool for my problem? \n",
-    "Can a simple model be as good as a complex one? ML model discovery \t\t\t\n",
-    "Do I have enough confidence to extrapolate the results? Is the model transferable?\t\n",
-    "\n",
-    "### Discussion\n",
-    "\n",
-    "This chapter has two parts: lessons learnt and open questions. \n",
-    "\n",
-    "Learns learnt should summerize the new stuff we learn from this use case of AI. What new contribution does AI give to solve this problem? Is it good enough to achieve your expected goal? What part of work is unexpected before you dive in? Do you think the model can work in your production environment? etc.\n",
-    "\n",
-    "Open questions should focus on future possibilities like if your team wants to adopt this model, what else you should do to make it fully work? How should we better tackle the data bias problem? How should we address the generalization issue on spatial and temporal extent in practice?\n",
-    "\n",
-    "Please elaborate a little bit on these questions with your real thoughts, which will be very helpful for us to tell the final story to students. \n"
-   ]
+   "id": "6ab41b87afe52471"
   }
  ],
  "metadata": {
@@ -36,21 +20,16 @@
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 3
+    "version": 2
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.0 (tags/v3.9.0:9cf6752, Oct  5 2020, 15:23:07) [MSC v.1927 32 bit (Intel)]"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "c446eef832ec964573dc49f36fd16bdbed40cbfbefbf557bc2dc78d9e7968689"
-   }
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 4
+ "nbformat_minor": 5
 }

book/chapters/datasource.ipynb

@@ -0,0 +1,47 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "source": [
+    "# Data Source\n",
+    "\n",
+    "Detailed exploration of data sources: Gridmet, AMSR, MODIS, Snotel\n",
+    "Importance and characteristics of each data source\n"
+   ],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "a19b1c84c1e62af1"
+  },
+  {
+   "cell_type": "code",
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "90623fdb37e99f29"
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}