markdown source builds

Auto-generated via {sandpaper}
Source  : 44d0d5e
Branch  : main
Author  : Chris Endemann <[email protected]>
Time    : 2024-08-07 16:49:10 +0000
Message : Update setup.md

md5sum.txt

@@ -20,5 +20,5 @@
 "episodes/8-releasing-a-model.md" "e9b0e3e101a854e0f54b24b6eb3f6729" "site/built/8-releasing-a-model.md" "2024-07-16"
 "instructors/instructor-notes.md" "cae72b6712578d74a49fea7513099f8c" "site/built/instructor-notes.md" "2024-06-19"
 "learners/reference.md" "1c7cc4e229304d9806a13f69ca1b8ba4" "site/built/reference.md" "2024-06-19"
-"learners/setup.md" "138dc9309754042f6b2ae48ef407cb03" "site/built/setup.md" "2024-08-07"
+"learners/setup.md" "80236b3b910a27a6263756fe4b65e83f" "site/built/setup.md" "2024-08-07"
 "profiles/learner-profiles.md" "60b93493cf1da06dfd63255d73854461" "site/built/learner-profiles.md" "2024-06-19"

setup.md

@@ -112,7 +112,7 @@ Conda should already be available in your system once you installed Anaconda suc
 2. Create the Conda Environment: To create a conda environment called `trustworthy_ML` with the required packages, open a terminal (Mac/Linux) or Anaconda prompt (Windows) and type the below command. This command creates a new conda environment named `trustworthy_ML` and installs the necessary packages from the `conda-forge` and `pytorch` channels. When prompted to Proceed ([y]/n) during environment setup, press y. It may take around 10-20 minutes to complete the full environment setup. Please reach out to the workshop organizers sooner rather than later to fix setup issues prior to the workshop. 
 
     ```sh
-    conda create --name trustworthy_ML python=3.9 jupyter scikit-learn pandas umap-learn pytorch torchvision torchaudio -c conda-forge -c pytorch
+    conda create --name trustworthy_ML python=3.9 jupyter scikit-learn pandas matplotlib keras umap-learn pytorch torchvision torchaudio -c conda-forge -c pytorch
     ```
 
 3. Activate the Conda Environment: After creating the environment, activate it using the following command.