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### Latest Code:
[model evaluation](https://github.com/artc-dsc/AI-FusionCast-Analysis/blob/dev/scripts/subprocess_model_evaluation.py)
[model prediction](https://github.com/artc-dsc/AI-FusionCast-…
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Hey guys, I'm facing a problem that's been driving me nuts. I am a beginner so please forgive me if there are any fundamental mistakes here. Any help is appreciated.
I am using the `TiDE model` to …
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Hello,
I'm using an LGBM-based forecasting model and I want to apply cross validation, where I also want to evaluate every n iterations in order to plot learning curves for my loss metrics of inter…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
This project aims to forecast crude oil prices using machine learning
### Use Case
Dat…
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Bankruptcy prediction is critical for stakeholders such as investors, creditors, and regulatory authorities. By leveraging historical financial data, this project employs ANN to forecast the likelihoo…
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See WRES User Support ticket #132398. In general, if the WRES is able to confirm different datums for the sides of the evaluation, the WRES should except out. More specifically, if the USGS NWIS stage…
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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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## Goal
Explore how this might work for the aspatial model, might improve identifiability
## Context
Suggestion from @athowes to improve identifiability, in particular might be helpful when there…
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Hi,
I am trying to test Lagllama on a prediction task. the dataset i feed is what i use for context. then using that context, i want it to make predictions. however, the first step of the predictions…
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I am interested in OpenSRP's capabilities in evaluation of immunization history and forecasting of immunizations due now or in the future. The brief documentation shows a screen of "all the patient's …