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### 🚀 The feature, motivation and pitch
The concept of learning rate schedulers is currently to affect the learning rate for all parameter groups. However there are use cases where it is needed to …
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In the preprocessing file, there are two scalers defined. However, the fit method should have an implementation. I mean: If I have a train and test time-series dataset, I compute the mean and std on …
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Hi, I am currently using properscoring for my probabilistic forecasting project.
I encountered the following error:
File "C:\...\lib\site-packages\properscoring\_crps.py", line 347, in crps_ens…
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Hello, my time series data has some large missing gaps, I was wondering if it is possible to remove the rows with missing value instead of applying data interpolation methods to clean the data? Should…
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#### Describe the issue linked to the documentation
Hey, first of all , i'd like to thank you guys for the contribution made to time series analyze. If you want to make sktime more popular, t…
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Hi,
I am trying to make forecasts similar to examples in Structural_Time_Series_Modeling_Case_Studies_Atmospheric_CO2_and_Electricity_Demand.ipynb. One major differences is that I have multiple lists…
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https://covid.cdc.gov/covid-data-tracker/#ed-visits
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This is more a question, but I didn't see a tag for it. Does Merlion support modeling multiple-series datasets? I understand from the README that it supports multi-variate models. I was curious to kno…
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#### Describe the issue linked to the documentation
Hi, I have gone over the introductory notebook (00_sktime_intro), and it was very informative! I have come up with a couple of suggestions for th…
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I have done some experiments with the FSNet and it works well. However, after plotting the ground truth and the prediction made by FSNet, I realized that the naive model, simply shifting the truth by …