Python bindings to the augurs time series framework
Installation
Eventually wheels will be provided as part of GitHub releases and maybe even on PyPI. At that point it will be as easy as:
$ pip install augurs
Until then it's a bit more manual. You'll need maturin installed and a local copy of this
repository. Then, from the crates/pyaugurs
directory, with your virtualenv activated:
$ maturin build --release
You'll probably want numpy as well:
$ pip install numpy
Usage
Multiple Seasonal Trend Decomposition with LOESS (MSTL) models
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# Use an AutoETS trend forecaster
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# Or use your own forecaster
"""See docs for more details on how to implement this."""
pass
return
return
...
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Exponential smoothing models
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More to come!