Update README.md

README.md

@@ -257,73 +257,3 @@ Python:
 * **Links from Lecture 6**:
 
   * [_Predicting Good Probabilities With Supervised Learning_](https://www.cs.cornell.edu/~alexn/papers/calibration.icml05.crc.rev3.pdf)
-
-
-***   
-
-## Using Class Software Resources
-
-### Mac
-
-**Preliminaries:**
-
-* Install [`homebrew`](https://brew.sh/): `$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"`
-
-* Install Java:
-
-```
-brew tap adoptopenjdk/openjdk
-brew cask install adoptopenjdk8
-```
-
-* [Install Mac command line developer tools](https://www.cnet.com/how-to/install-command-line-developer-tools-in-os-x/)
-
-* Install Graphviz: `$ brew install graphviz`
-
-* Install Git: `$ brew install git`
-
-1. Clone this repository with the examples: `$ git clone https://github.com/jphall663/GWU_rml.git`
-
-2. Install Anaconda Python 5.1.0 from the [Anaconda archives](https://repo.continuum.io/archive/) (Anaconda3-5.1.0-MacOSX-x86_64.pkg) and *add it to your system path.* (This means when you type `$ python` at the command prompt, you will start a Python 3.6 session. You should probably check for a line like this `export PATH="/Users/phall/anaconda/bin:$PATH"` in your `.bash_profile` file. You may also need to close and restart your terminal session.)
-
-3. Install `virtualenv`: `$ pip install virtualenv` 
-
-4. Change directories into the cloned repository: `$ cd GWU_rml`
-
-5. Create a Python 3.6 virtual environment: `$ virtualenv -p /path/to/anaconda3/bin/python3.6 env_rml` (`/path/to/anaconda3/bin/python3.6` is not a real path. You must replace it with the path to `python3.6` on your system. This can be as simple as `$ virtualenv -p python3.6 env_rml`.) 
-
-6. Activate the virtual environment: `$ source env_rml/bin/activate`
-
-7. Install the correct packages for the example notebooks: `$ pip install -r requirements.txt`
-
-8. Start Jupyter: `$ jupyter notebook`
-
-9. When you are finished, deactivate the environment: `$ deactivate`
-
-If you get stuck, try this link: [Mac Setup: Virtualenv](https://sourabhbajaj.com/mac-setup/Python/virtualenv.html).
-
-### Ubuntu
-
-1. Install [Git](https://git-scm.com/downloads) (`$ sudo apt-get install git`), [Graphviz](https://www.graphviz.org/) (`$ sudo apt-get install graphviz`) and Java (`$ sudo apt-get install openjdk-8-jdk`). They must all be *added to your system path.*
-
-2. Clone this repository with the examples: `$ git clone https://github.com/jphall663/GWU_rml.git`
-
-3. Install Anaconda Python 5.1.0 from the [Anaconda archives](https://repo.continuum.io/archive/) (Anaconda3-5.1.0-Linux-x86_64.sh) and *add it to your system path.* (This means when you type `$ python` at the command prompt, you will start a Python 3.6 session.)
-
-4. Install `virtualenv`: `$ pip install virtualenv` 
-
-5. Change directories into the cloned repository: `$ cd GWU_rml`
-
-6. Create a Python 3.6 virtual environment: `$ virtualenv -p /path/to/anaconda3/bin/python3.6 env_rml` 
-
-7. Activate the virtual environment: `$ source env_rml/bin/activate`
-
-8. Install the correct packages for the example notebooks: `$ pip install -r requirements.txt`
-
-9. Start Jupyter: `$ jupyter notebook`
-
-10. When you are finished, deactivate the environment: `$ deactivate`.
-
-***
-
-Some materials Copyright Patrick Hall and the H2O.ai team 2017-2020.