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Please put the sites of th papers we read and/or the citations here. This will allow us to backtrack to stuff without losing it. @hjhill99 @tgeorge71
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possible solution would be to use https://rpubs.com/xiaodai/intro-disk-frame to save data as issue appears to be running out of memory. actual memory issue not diagnosed however.
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``` r
library(seasonal)
m
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We are using fbprophet as a dependency in our open source time series library [Kats](https://github.com/facebookresearch/Kats).
Our recent [github build](https://github.com/facebookresearch/Kats/acti…
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The logistic growth trend saturates at both lower and upper bounds. It would be useful to have a trend that saturates only on one end, e.g. that saturates at 0 but does not require specifying an upper…
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Coefficients for features are interpretable, like in linear Regression
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The m.plot(forecast) or the plot_plotly(m, forecast) functions when executed result in a FutureError the reads as follows
> \Lib\site-packages\prophet\plot.py:71: FutureWarning: The behavior of Dat…
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## Project Robyn
## Describe issue
I believe that I've found an edge case that causes the output (e.g. coefficients, xDecompAgg) from robyn_recreate to drastically differ from the original soluti…
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Hello everyone,
Need your helps to resolve an issue when installing and packaging prophet library to use it for aws lambda layer.
I already do this work twice with python3.5 and python3.6. But…
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I work with monthly values and have noticed that a model with the same parameters (=default yearly seasonality) predicts completely different values when changing "ds" to the first day or the last day…