Time series anomaly detection and forecasting
SAM is a Python package for timeseries analysis, anomaly detection and forecasting.
Author: Royal HaskoningDHV
The documentation is available here..
The easiest way to install is package is using pip:
pip install sam
There are different optional dependencies for SAM, if you are unsure use
pip install sam[all] other options include
plotting (just use the plotting functionality),
data_science (all dependencies needed for a data scientist) and
data_engineering (dependencies for data engineer).
Keep in mind that the sam package is updated frequently, and after a while, your local version may be out of date with the online documentation. To be sure, run the
pip install -U sam command to install the latest version.
A configuration file can be created as
.config. This configuration file only stores api credentials for now, but more options may be added in the future. The configuration file is parsed using the Python3 configparser, and an example configuration is shown below:
[regenradar] user=regenradar.username password=secret123 [openweathermap] apikey=secret456
Issue tracking and Feature Requests
Anyone can create feature requests or bug reports! You can browse and create new issues on GitHub: https://github.com/RoyalHaskoningDHV/sam/issues
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.