Lilio

A Python package for generating calendars to resample timeseries into training and target data for machine learning. Named after the inventor of the Gregorian Calendar.

3
mentions
5
contributors

Cite this software

What Lilio can do for you

Lilio helps you to organize timeseries data in such a way that it can easily be used in a machine learning workflow. It is geared towards predictions of events with (annual) return periods. Lilio distinguishes between target and precursor periods (features) and stacks the timeseries such that targets from different years are treated as independent records (samples).

Concretely, Lilio helps you to:

  • Define target and precursor periods
  • Resample and reshape input data
  • Split data into train-test sets
  • Avoid information leakage between train/test sets
Logo of Lilio
Keywords
Programming languages
  • Python 99%
  • Shell 1%
License
</>Source code

Participating organisations

Netherlands eScience Center
Vrije Universiteit Amsterdam

Mentions

Contributors

Yang Liu
Yang Liu
SV
Sem Vijverberg
JvI
Jannes van Ingen
Vrije Universiteit Amsterdam

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