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A newer version of the Streamlit SDK is available:
1.55.0
Data Directory
The data folder organizes all datasets used in the Air Quality Forecasting project. It includes raw data, processed data ready for model training, inference datasets, and model predictions, ensuring a clear workflow from data collection to model evaluation.
π Data Folder Structure
data/
βββ inference/ # The folder, in which data needs to be stored to use the parser's functionality for custom predictions.
βββ model_predictions/ # Stores model output predictions for evaluation and analysis. This folder is updated by the automated workflows every 6 hours.
βββ other/ # Contains miscellaneous data files such as the feature importance values.
βββ processed/ # Preprocessed datasets ready for model training and testing.
βββ raw/ # Raw, unprocessed datasets collected from the World Air Quality Index and Visual Crossing.