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Given the treasure trove of data that we now are developing, as well the growing community of traders / coders that are involved in this project, I wanted to open an issue where people can periodicall…
pmaji updated
5 years ago
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The Lesotho work and also the Caribbean work provides a good incentive, with real customers, to ensure that the climatic features satisfy their needs. This can grow, but here are some initial ideas. …
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@rachaelgallagher @jmadin et al. I've added a use case for dataset registry review process
in our architecture document here: https://docs.google.com/document/d/1O-B4fJ-60URy_NODngD3j5NtrFfkzj94zFY…
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### Issue Description
I am very excited about using @slaweku's ES-RNN and want to know if I can help with any parts of the re-implementation?
jperl updated
5 years ago
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Hi,
I wonder if there is an option for setting parameters of prophet not just for change point, holiday and seasonality.
![image](https://user-images.githubusercontent.com/24259330/48245582-84a3…
bgstn updated
5 years ago
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Hello,
I had dataset at monthly level from Jan 2012 through August 2018. I observed that January's had highest variance. So I segmented the data into jan dataset and nonjan dataset and ran the pred…
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This package is really helpful for convenience of the analysis flow - it would be improved though by exposing all the parameters of bsts. For example, the seasonality component.
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hi Samuel,
DLM is really great works for time series analysis. while I have some troubles in predict, codes are as following, where I want to predict mean and variance at the 11th day:
#use 10 day…
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**Submitting author:** @marekborowiec (Marek Borowiec)
**Repository:** https://github.com/marekborowiec/spruceup
**Version:** v2019.1.1
**Editor:** @csoneson
**Reviewers:** @iimog, @gavinmdouglas
**…
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Hi
I have 3 months data of temperature got from censor on hourly basis. So daily 24 data points and weekly 168 data points. I need to predict next day(24 data points).
I used the below code
…