Project homepage: https://osf.io/q8f9t/
Note: The IBRL Dataset used in this project can be located here: http://db.lcs.mit.edu/labdata/labdata.html
###Quickstart Guide
Welcome, this quickstart guide will help you get your environment set up and your IPython notebook server up and running.
- Clone the GitHub Repository:
$ git clone https://github.com/HarryRybacki/SensorDataResearchReproduction.git
Cloning into 'SensorDataResearchReproduction'...
...
Resolving deltas: 100% (53/53), done.
Checking connectivity... done.
$ cd SensorDataResearchReproduction- (Recommended optional step) Create a new virtual environment for this repository (I'm using virtualenvwraper but you can use whatever):
$ mkvirtualenv sensorwork
New python executable in sensordata/bin/python2.7
Also creating executable in sensordata/bin/python
Installing setuptools, pip...done.- Install the Python requirements:
(sensordata)...$ pip install -r requirements.txt
Downloading/unpacking Jinja2==2.7.3 (from -r requirements.txt (line 1))
...
Successfully installed Jinja2 MarkupSafe backports.ssl-match-hostname certifi gnureadline ipython matplotlib mock nose numpy pyparsing python-dateutil pytz pyzmq six tornado
Cleaning up...- Launch the IPython Notebook server:
(sensordata)...$ ipython notebook
...[NotebookApp] Using existing profile dir: u'/Users/hrybacki/.ipython/profile_default'
...[NotebookApp] Using MathJax from CDN: https://cdn.mathjax.org/mathjax/latest/MathJax.js
...NotebookApp] The port 8888 is already in use, trying another random port.
...[NotebookApp] Serving notebooks from local directory: /Users/hrybacki/git/test/SensorDataResearchReproduction
...[NotebookApp] 0 active kernels
...[NotebookApp] The IPython Notebook is running at: http://localhost:8888/
...[NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).At this point the IPython notebook server should have automatically re-directed your machine to the default browser and opened the main view of the IPython notebook server (in the sample output above this is: http://localhost:8888/). From this screen you can view the directory structure of the project as well as any IPython notebooks that are present.
- Open the IPython notebook: Simply click the AnomalyDetectionNotebookV2.ipynb link and the notebook will open and you are ready to get started!