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Python package for Feature-based Forecast Model Averaging (FFORMA).

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AzulGarza/fforma

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Build PyPI version fury.io Downloads Python 3.6+ License: MIT

Experiments

  1. Create docker image and experiments directory.
make init
  1. Download datasets.
make datasets
  1. Create base data (models to ensemble).
make base dataset=tourism
  1. Compute ensemble benchmarks.
make benchmarks dataset=tourism
  1. Run experiments.
make run dataset=tourism model=ffnn splits=3 trials=200