Python-wrapper-for-R-Forecast
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Python wrappers (written using rpy2) for most of the functions in the R Forecast package and some related functions in stats.
Hi, I am trying to use this package. When I call the line `from rforecast import converters` it throws the following error ``` (cfa) ➜ Python-wrapper-for-R-Forecast-master git:(master) ✗ python Python...
I get this error after loading the rforecast package ` >>> import rforecast >>> data = [509, 506, 340, 240, 219, 172, 252, 221, 276, 271, 342, 428, 442, 432,...
How is this installed? File doesn't exist here.
After the update to forecast 6.2, there is one test failing on tsoutliers in test_wrappers.
Functions `accuracy`, `sindexf` and `seasadj` currently only take R objects. Look at `plots.plot_forecast` for ideas about how to get them to take both.
Functions holt and hw expose the damped parameter, but the option of setting phi is not available. If we can't access phi, then maybe damped should not be exposed.
We now have a data folder and io.py, so use that.