Finite-Interval Forecasting Engine for Apache Spark (FIFEforSpark)¶
The Finite-Interval Forecasting Engine for Spark(FIFEforSpark) Python package provides machine learning and other models for discrete-time survival analysis and multivariate series forecasting. FIFEforSpark offers advanced machine learning methods that improve forecasting retention over traditional survival analysis.
FIFE for Spark is an extension of FIFE for the Apache Spark environment.
Documentation¶
Python User Guide¶
Citation¶
Please cite FIFEforSpark as:
Institute for Defense Analyses. FIFEforSpark: Finite-Interval Forecasting Engine for Spark [software]. https://github.com/IDA-HumanCapital/fife_for_spark, 2020. Version 0.x.x.
BibTex:
@misc{
FIFEforSpark,
author={Institute for Defense Analyses},
title={{FIFE}: {Finite-Interval Forecasting Engine for Spark[software]}},
howpublished={https://github.com/IDA-HumanCapital/fife_for_spark},
note={Version 0.x.x},
year={2021}
}
Contributing¶
To contribute to FIFEforSpark please contact us at humancapital@ida.org and/or open a pull request at https://github.com/IDA-HumanCapital/fife_for_spark.
Contact Information¶
- IDA development team
- IDA Principal Investigator
Dr. James Bishop, jbishop@ida.org