alan-turing-institute / alan-turing-institute/cloudcasting

Add more concrete example in the dataloader notebook

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Dominant language
Jupyter Notebook
Stars
15
Forks
4
PR merge metrics
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Description

We have had feedback that it would be useful to have a more concrete example in the dataloader notebook about how we would use the dataloader/dataset to make predictions.

We could:
- Add the regular persistence model
- Show a very minimal validation loop using the dataset where we make predictions and calculate MAE scores

Contributor guide

Open the contributing guide

Research direction

Start with the dataloader notebook and review how the dataloader and dataset are currently introduced. Add a concrete prediction example using the regular persistence model and a minimal validation loop, then confirm that it produces predictions and reports MAE scores.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
machine-learning
Issue type
Feature
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

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