IDA-HumanCapital/fife
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
This helps analysts predict when individual entities (like customers, employees, or equipment) might exit a dataset and what their future characteristics will be if they stay. It takes historical data for many individuals over time and provides probabilities of their continued presence, what their key attributes might look like, and reasons for their departure. Data scientists and quantitative analysts who work with panel data will find this useful.
Available on PyPI.
Use this if you need to forecast both the likelihood of an individual staying in your dataset and their future characteristics, even when individuals enter and exit at different times.
Not ideal if you only need simple aggregate time series forecasts or don't have individual-level historical data.
Stars
23
Forks
5
Language
Python
License
—
Category
Last pushed
Mar 27, 2026
Monthly downloads
164
Commits (30d)
0
Dependencies
12
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