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Thanks for implementing `cor_arma` for non-gaussian models in PR #650
I saw some differences when trying to reproduce the output of `marginal_effects(..., method = "fitted")` starting from the `f…
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# Azure documentation issue guidance
Thanks for opening an issue in the Azure technical documentation repository.
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I am reading FPP2. I don't know where I can post a question, so I post here to see if I can get an answer from Rob. In Chapter 8 ARIMA models, almost all the forecasts for future time are just flat tr…
htcml updated
5 years ago
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#### Description
I have one year daily data. and want to predict 30 days. for this work i set this parameters
arima = pm.auto_arima(train, error_action='ignore', trace=1,seasonal=True, m=365)
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Component : qr-dashboard
Version : v0.3.2
The strategic indicators are not calculated since the deployment of the last version of qr-dashboard.
An error is return by the REST Service used to tr…
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`statsmodels` lack of releases is starting to cause a lot of problems. 0.9.0 will be 2 years old in 10 days.
What are the absolute must-fix issues before a release can be cut? There is a 0.10.0 pr…
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First of all thank you for sharing your code. Its interesting. I have a question how do i save a Trained agent and reuse it?
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For experimentation, this would be a great feature to design our own and link to them within the etc(), auto.arima(), and aroma() models.
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Batch forecasting needs to feature (1) parallel computing, (2) error handling https://github.com/tidyverts/fable/issues/74 and (3) multiple model types/columns. Given the current framework, these will…
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The `cor_arr` correlation structure is currently deprecated because it does not really do something useful that one cannot otherwise do via simple linear predictor terms. In particular, predictions ar…