From dd6c3f003dbf90d0b7e5060755586b46dbccf36b Mon Sep 17 00:00:00 2001 From: Patrick <42137747+PatrickAdelberger@users.noreply.github.com> Date: Wed, 12 Oct 2022 18:13:00 +0200 Subject: [PATCH] Changes for WS 2022 (#11) * Update README.md Update dates for WS 2022 * rename 'path explorer' to 'space explorer' * remove deadlines * remove brackets from TODOs Co-authored-by: Klaus Eckelt --- README.md | 20 ++++++++++---------- solution_2048.html | 12 ++++++------ solution_2048.ipynb | 15 +++++++-------- solution_rubik.html | 12 ++++++------ solution_rubik.ipynb | 12 ++++++------ template.ipynb | 27 +++++++++++++++------------ 6 files changed, 50 insertions(+), 48 deletions(-) diff --git a/README.md b/README.md index 99e8ed2..d8d2050 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ Exemplary solutions are provided in the `solution_rubik.ipynb` and `solution_204 Further examples to analyze are (board) games and approximation algorithms. The 2048 notebook uses [OpenAI Gym](https://gym.openai.com/) to create a game environment and produce state data. There is a variety of first and third party environments for Gym that can be used. -## General Information Submission due on 03.11.2021, 23:59 +## General Information Submission For the intermediate submission, please enter the group and dataset information. Coding is not yet necessary. @@ -14,10 +14,10 @@ For the intermediate submission, please enter the group and dataset information. | Student ID | First Name | Last Name | E-Mail | Workload [%] | | --------------|-------------|----------------|--------|---------------| -| [TODO] | [TODO] | [TODO] |[TODO] |[TODO] | -| [TODO] | [TODO] | [TODO] |[TODO] |[TODO] | -| [TODO] | [TODO] | [TODO] |[TODO] |[TODO] | -| [TODO] | [TODO] | [TODO] |[TODO] |[TODO] | +| TODO | TODO | TODO |TODO |TODO | +| TODO | TODO | TODO |TODO |TODO | +| TODO | TODO | TODO |TODO |TODO | +| TODO | TODO | TODO |TODO |TODO | ### Dataset Please add your dataset to the repository (or provide a link if it is too large) and answer the following questions about it: @@ -28,15 +28,15 @@ Please add your dataset to the repository (or provide a link if it is too large) * What do you want to analyze? * What are you expecting to see? -[TODO] +TODO -## Final Submission due on 10.11.2021, 23:59 +## Final Submission * Make sure that you pushed your GitHub repository and not just committed it locally. * Sending us an email with the code is not necessary. * Update the *environment.yml* file if you need additional libraries, otherwise the code is not executeable. -* Create a single notebook with your solution, e.g. solution.ipynb. +* Create a single, clearly named notebook with your solution, e.g. solution.ipynb. * Save your final executed notebook as html (File > Download as > HTML) and add them to your repository. @@ -44,8 +44,8 @@ Please add your dataset to the repository (or provide a link if it is too large) Checkout this repo and change into the folder: ``` -git clone https://github.com/jku-icg-classroom/xai_proj_space_2021-.git -cd xai_proj_space_2021- +git clone https://github.com/jku-icg-classroom/xai_proj_space_2022-.git +cd xai_proj_space_2022- ``` Load the conda environment from the shared `environment.yml` file: diff --git a/solution_2048.html b/solution_2048.html index 14d4c58..2c387eb 100755 --- a/solution_2048.html +++ b/solution_2048.html @@ -15945,18 +15945,18 @@

Optional

Projection Space Explorer -The Projection Space Explorer is a web application to plot and connect two dimensional points. +The Projection Space Explorer is a web application to plot and connect two dimensional points. Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors. Further Information:

Data Format

-How to format the data can be found in the Projection Space Explorer's README. +How to format the data can be found in the Projection Space Explorer's README. Example data with three lines, with two colors (algo) and additional mark encoding (cp): @@ -16082,7 +16082,7 @@

Data Format

Save the dataset to CSV, e.g. using pandas: df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False) - and upload it in the Projection Space Explorer by clicking on `LOAD DATASET` in the top left corner. + and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner. ℹ You can also include your high dimensionmal data and use it to adapt the visualization. diff --git a/solution_2048.ipynb b/solution_2048.ipynb index 89952d7..b40903c 100644 --- a/solution_2048.ipynb +++ b/solution_2048.ipynb @@ -621,8 +621,7 @@ "metadata": { "collapsed": true, "jupyter": { - "outputs_hidden": true, - "source_hidden": true + "outputs_hidden": true }, "tags": [] }, @@ -1303,18 +1302,18 @@ " \n", "

Projection Space Explorer

\n", "\n", - "The Projection Space Explorer is a web application to plot and connect two dimensional points. \n", + "The Projection Space Explorer is a web application to plot and connect two dimensional points. \n", "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n", " \n", "Further Information:\n", "\n", "\n", "

Data Format

\n", - "How to format the data can be found in the Projection Space Explorer's README.\n", + "How to format the data can be found in the Projection Space Explorer's README.\n", "\n", "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n", "\n", @@ -1440,7 +1439,7 @@ "\n", "\n", "Save the dataset to CSV, e.g. using pandas: df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False) \n", - " and upload it in the Projection Space Explorer by clicking on `LOAD DATASET` in the top left corner.\n", + " and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n", " \n", "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n", " \n", diff --git a/solution_rubik.html b/solution_rubik.html index 702821e..0a865d1 100644 --- a/solution_rubik.html +++ b/solution_rubik.html @@ -16157,18 +16157,18 @@

Optional

Projection Space Explorer -The Projection Space Explorer is a web application to plot and connect two dimensional points. +The Projection Space Explorer is a web application to plot and connect two dimensional points. Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors. Further Information:

Data Format

-How to format the data can be found in the Projection Space Explorer's README. +How to format the data can be found in the Projection Space Explorer's README. Example data with three lines, with two colors (algo) and additional mark encoding (cp): @@ -16294,7 +16294,7 @@

Data Format

Save the dataset to CSV, e.g. using pandas: df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False) - and upload it in the Projection Space Explorer by clicking on `LOAD DATASET` in the top left corner. + and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner. ℹ You can also include your high dimensionmal data and use it to adapt the visualization. diff --git a/solution_rubik.ipynb b/solution_rubik.ipynb index de97c33..2a45e7d 100644 --- a/solution_rubik.ipynb +++ b/solution_rubik.ipynb @@ -1568,18 +1568,18 @@ " \n", "

Projection Space Explorer

\n", "\n", - "The Projection Space Explorer is a web application to plot and connect two dimensional points. \n", + "The Projection Space Explorer is a web application to plot and connect two dimensional points. \n", "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n", " \n", "Further Information:\n", "\n", "\n", "

Data Format

\n", - "How to format the data can be found in the Projection Space Explorer's README.\n", + "How to format the data can be found in the Projection Space Explorer's README.\n", "\n", "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n", "\n", @@ -1705,7 +1705,7 @@ "\n", "\n", "Save the dataset to CSV, e.g. using pandas: df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False) \n", - " and upload it in the Projection Space Explorer by clicking on `LOAD DATASET` in the top left corner.\n", + " and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n", " \n", "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n", " \n", diff --git a/template.ipynb b/template.ipynb index ab80040..c997abd 100644 --- a/template.ipynb +++ b/template.ipynb @@ -169,27 +169,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "jp-MarkdownHeadingCollapsed": true, + "tags": [] + }, "source": [ "## Optional\n", "
\n", - " Projection Path Explorer (click to reveal)\n", + " Projection Space Explorer (click to reveal)\n", "\n", " \n", - "

Projection Path Explorer

\n", + "

Projection Space Explorer

\n", "\n", - "The Projection Path Explorer is a web application to plot and connect two dimensional points. \n", + "The Projection Space Explorer is a web application to plot and connect two dimensional points. \n", "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n", " \n", "Further Information:\n", "\n", "\n", "

Data Format

\n", - "How to format the data can be found in the Projection Path Explorer'S README.\n", + "How to format the data can be found in the Projection Space Explorer's README.\n", "\n", "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n", "\n", @@ -315,7 +318,7 @@ "\n", "\n", "Save the dataset to CSV, e.g. using pandas: df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False) \n", - " and upload it in the Projection Path Explorer by clicking on `LOAD DATASET` in the top left corner.\n", + " and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n", " \n", "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n", " \n", @@ -327,7 +330,7 @@ "metadata": {}, "source": [ "## Results\n", - "You may add additional screenshots of the Projection Path Explorer." + "You may add additional screenshots of the Projection Space Explorer." ] }, { @@ -363,7 +366,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -377,7 +380,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.9.7" } }, "nbformat": 4,