vbp 0.1.2

Value Based Prioritization

# Value Based Prioritization

Value Based Prioritization (VBP) uses value theory to quantitatively prioritize potential actions to accomplish a goal.

[The source for this project is available here][src].

This package provides abstract classes and utility methods to run VBP, mostly focused on Modeled VBP which uses time series data to predict future values and prioritize actions based on the relative predicted values.

The DataSource class is the base abstract class for VBP.

The TimeSeriesDataSource abstract class inherits from DataSource and may be used for Modeled VBP. The ExampleDataSource class demonstrates a simple data source based on TimeSeriesDataSource.

Built-in Modeled VBPs include Underlying Cause of Death models for the United States (UCODUnitedStates) and the World (UCODWorld). These data sources both inherit from ICDDataSource which inherits from TimeSeriesDataSource.

The run module may be used from the command line to perform different VBP actions such as listing actions (list), counting actions (count), predicting values (predict), running Modeled VBP (modeled_value_based_prioritization), and more. For usage, run:

python -m vbp.run

[src]: https://github.com/freeradical13/ValueBasedPrioritization