Metadata-Version: 2.1
Name: vbp
Version: 0.1.2
Summary: Value Based Prioritization
Home-page: https://github.com/freeradical13/ValueBasedPrioritization
Author: Free Radical
Author-email: freeradical@myplaceonline.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/freeradical13/ValueBasedPrioritization/issues
Project-URL: Source, https://github.com/freeradical13/ValueBasedPrioritization
Keywords: value based prioritization
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: statsmodels
Requires-Dist: scipy
Requires-Dist: fbprophet

# 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


