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Building on Zero-shot recipe #86 , now include:
- Using the Preprocessor
- Fine-tuning the model
- Evaluating the Fine-tuned Model
Reference:
https://github.com/ibm-granite/granite-tsfm/blob/cookbook…
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## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
4 months ago
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If we introduce Open Meteo for geolocation #40 (name -> lat / lon), then we should also test to convert to Open Meteo forecast, because the current `7timer.info` API we use cannot really take time dur…
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Pulling out [this comment](https://github.com/cockroachdb/cockroach/issues/119967#issuecomment-1985109828) into a separate issue. We should try to pick a forecast time closer to the current time.
>…
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Forecast/Predict what I want to type, what word etc like Gmail does but for the machine as a whole
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Apologies if I am annoying, but something I did not think about when discussing the package title last time (#72) is that the term "hierarchical nowcasting" is ambiguous. We are here referring to "hie…
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How to forecast multivariate series?
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@Sharjeeliv
Hello Sharjeel, this issue page is created for the task of time series forecasting for user similarity matrices. Here is the detailed explanation for this task:
When UML (user modelin…
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Not so much an issue, but more of a question...
This project looks really promising. I've been looking for a way of accessing the data from DWD without having to re-invent the wheel.
It seems t…
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**Description:**
Predicting future traffic flow, which will aid in traffic management and planning. The goal is to build a model that can accurately forecast traffic flow based on historical data a…