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I am trying to understand better how a global model would work under the two different forecasting methods - multivariate forecast vs multiple series forecasting. Based on what was mentioned in [#2141…
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As discussed in PR https://github.com/sktime/sktime/pull/6228, we need to redirect the stdout and stderr to mute the aggressive logging of pytorch-forecasting models.
discussion from #6228:
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**Is your feature request related to a problem? Please describe.**
The primary challenge is accurately forecasting the stock prices of Google, Microsoft, and Apple using historical data. Key issues i…
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This issue collects a wishlist of de-novo implementations of torch based models.
Anyone can suggest models to implement, we will have to prioritize along a impact/cost analysis.
FYI @fnhirwa.
C…
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**Is your feature request related to a problem? Please describe.**
Yes, The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. Investors eagerly seek …
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@sktime/core-developers, @Xinyu-Wu-0000, @fnhirwa, I think we ought to untangle terminology for "global" in the code base and especially in user facing documentation and tutorial notebooks.
Current…
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REferences
https://unit8co.github.io/darts/generated_api/darts.models.forecasting.exponential_smoothing.html
https://gerardrbentley-timeseries-example-streamlit-apps02-darts-350it1.streamlit.app
Calc…
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## Goal
We should have a consistent interface for creating forecasts from models.
## Context
For implementation inspiration, we can look at the [NumPyro Time Series Forecasting](https://num.p…
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Test model and evaluate MAPE