Anomaly detection in NAB dataset.
Experiment with Amazon RDS CPU utilisation.
The fastest way to run this notebook is to Install the Anaconda package with Python 3.7: https://www.anaconda.com/download/. It contains all necessary tools and common dependencies. Also, you should install MXNET framework: https://mxnet.incubator.apache.org/install/.
Using virtual environment:
- Create virtual environment in the project directory:
python3 -m venv venv
- Activate it:
- Install project’s dependencies:
pip install -r requirements.txt
The data comes from the NAB dataset: https://github.com/numenta/NAB, you should clone it to the project directory:
git clone https://github.com/numenta/NAB.git
Starting the application
After installing tools and cloning the data run
jupyter notebook command in the project directory.