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--- |
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license: mit |
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pipeline_tag: time-series-forecasting |
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library_name: transformers |
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language: |
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- en |
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tags: |
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- Pytorch |
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- LSTM |
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--- |
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Model Details |
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The model is configured with the following architecture parameters: |
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Input Dim: Number of input features |
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Hidden Dim: 50 (Number of hidden units in each LSTM layer) |
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Output Dim: 1 (The predicted severity score) |
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Forecast Horizon: Number of future steps the model predicts (e.g., 1 step ahead) |
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Layers: 2 LSTM layers |
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Dropout Rate: 0.3 (For regularization) |
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Example Data |
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The model expects input data in the following format: |
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Feature Description |
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Total Population Total population of the affected area |
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Landmass Affected Area affected by the crisis (in square km) |
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People Exposed Number of people exposed to the crisis |
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(Other features) Additional relevant crisis features |
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License |
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This model is available under the MIT License (or your preferred license). |
