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Add extrapolate_season.predict() function

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- the function implements a forecasting "method" similar to the
  seasonal naive method
  => instead of simply taking the last observation given a seasonal lag,
     it linearly extrapolates all observations of the same seasonal lag
     from the past into the future; conceptually, it is like the
     seasonal naive method with built-in smoothing
- the function is tested just like the `arima.predict()` and
  `ets.predict()` functions
  + rename the `tests.forecasts.methods.test_ts_methods` module
    into `tests.forecasts.methods.test_predictions`
- re-organize some constants in the `tests` package
- streamline some docstrings
This commit is contained in:
Alexander Hess 2021-02-01 11:32:10 +01:00
commit b8952213d8
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
9 changed files with 170 additions and 43 deletions
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3
setup.cfg
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@ -150,6 +150,9 @@ per-file-ignores =
src/urban_meal_delivery/forecasts/methods/decomposition.py:
# The module is not too complex.
WPS232,
src/urban_meal_delivery/forecasts/methods/extrapolate_season.py:
# The module is not too complex.
WPS232,
src/urban_meal_delivery/forecasts/timify.py:
# No SQL injection as the inputs come from a safe source.
S608,