updated notebook

c1b97097 · Scheele, Stephan · 9618abeb · c1b97097 · c1b97097
Commit c1b97097 authored Feb 09, 2021 by Scheele, Stephan
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.ipynb_checkpoints/trepan-demo-checkpoint.ipynb .ipynb_checkpoints/trepan-demo-checkpoint.ipynb +14 -1

trepan-demo.ipynb trepan-demo.ipynb +14 -1

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--- a/.ipynb_checkpoints/trepan-demo-checkpoint.ipynb
+++ b/.ipynb_checkpoints/trepan-demo-checkpoint.ipynb
@@ -7,6 +7,7 @@
    "# Using Trepan: a demonstration\n",
    "\n",
    "By: Yuriy Sverchkov\n",
+    "Date: Feb 2021\n",
    "\n",
    "Assistant Scientist\n",
    "\n",
@@ -14,6 +15,9 @@
    "\n",
    "University of Wisconsin - Madison, USA\n",
    "\n",
+    "Adapted for AI-Campus course [XAI4Ing](https://learn.ki-campus.org/courses/erklaerbareki2020) by Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/\n",
+    "\n",
+    "\n",
    "## Trepan\n",
    "\n",
    "[M. Craven and J. Shalvik. 1995. Extracting tree-structured representations of trained networks. In Proceedings of the 8th International Conference on Neural Information Processing 1995](https://dl.acm.org/doi/10.5555/2998828.2998832)\n",
@@ -23,7 +27,16 @@
    "\n",
    "In this notebook we will use a modern implementation in the [`generalizedtrees`](https://github.com/Craven-Biostat-Lab/generalizedtrees) package to run Trepan on one of the original datasets used in the paper. `generalizedtrees` is under development with major changes from version to version. It is a project that attempts to bring together many different variants of tree learning together into a single framework.\n",
    "\n",
-    "For this notebook we will use `generalizedtrees` version 1.1.0"
+    "For this notebook we will use `generalizedtrees` version 1.1.0\n",
+    "\n",
+    "\n",
+    "## Contact\n",
+    "Via the gitlab website: Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/\n",
+    "\n",
+    "## License\n",
+    "\n",
+    "This work is licensed under Creative Commons Attribution 4.0 International License.\n",
+    "https://creativecommons.org/licenses/by/4.0/\n"
   ]
  },
  {

--- a/trepan-demo.ipynb
+++ b/trepan-demo.ipynb
@@ -7,6 +7,7 @@
    "# Using Trepan: a demonstration\n",
    "\n",
    "By: Yuriy Sverchkov\n",
+    "Date: Feb 2021\n",
    "\n",
    "Assistant Scientist\n",
    "\n",
@@ -14,6 +15,9 @@
    "\n",
    "University of Wisconsin - Madison, USA\n",
    "\n",
+    "Adapted for AI-Campus course [XAI4Ing](https://learn.ki-campus.org/courses/erklaerbareki2020) by Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/\n",
+    "\n",
+    "\n",
    "## Trepan\n",
    "\n",
    "[M. Craven and J. Shalvik. 1995. Extracting tree-structured representations of trained networks. In Proceedings of the 8th International Conference on Neural Information Processing 1995](https://dl.acm.org/doi/10.5555/2998828.2998832)\n",
@@ -23,7 +27,16 @@
    "\n",
    "In this notebook we will use a modern implementation in the [`generalizedtrees`](https://github.com/Craven-Biostat-Lab/generalizedtrees) package to run Trepan on one of the original datasets used in the paper. `generalizedtrees` is under development with major changes from version to version. It is a project that attempts to bring together many different variants of tree learning together into a single framework.\n",
    "\n",
-    "For this notebook we will use `generalizedtrees` version 1.1.0"
+    "For this notebook we will use `generalizedtrees` version 1.1.0\n",
+    "\n",
+    "\n",
+    "## Contact\n",
+    "Via the gitlab website: Stephan Scheele, https://www.uni-bamberg.de/en/cogsys/scheele-stephan/\n",
+    "\n",
+    "## License\n",
+    "\n",
+    "This work is licensed under Creative Commons Attribution 4.0 International License.\n",
+    "https://creativecommons.org/licenses/by/4.0/\n"
   ]
  },
  {