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This wiki contains documentation for ViEWS 3. ViEWS 3 is an ecosystem of packages that provide facilities for data retrieval, time-series modelling, data transforms and model and model run management.
To open this wiki in a browser window from the terminal, run:
viewser help wiki
ViEWS 3 relies on several conventions for data and naming, to make exchange and interoperation between packages easier:
Documentation is provided for each of the constituent ViEWS 3 packages.
Notebooks are also available, which show complete workflows using the various
packages in concert. Note that package names are written with a dash (-) on
PyPi, and with an underscore (_) on github, due to differing naming
conventions.
- viewser is the entrypoint for interacting with the ViEWS 3 cloud, which provides data for the ViEWS team.
- stepshift implements the step-shifting algorithm used for predictive modelling.
- views-runs provides helper classes for model run management
- views-partitioning is used to partition data for training.
- views-transformation-library contains data transformation functions available in ViEWS 3
- views-dataviz has functions for making maps and plots
- views-stepshift is a legacy package containing the reference implementation of the stepshifting algorithm
A pre-packaged docker image is also provided. This environment works as a common baseline environment for running notebooks, and contains a Jupyter environment with all relevant packages pre-installed.
To run a notebook server with this image, run the command:
viewser notebooks run
This downloads and launches the image.