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Create model_card.json

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+ {
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+ "language": "en",
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+ "tags": ["keras", "tensorflow", "time-series", "menstrual-cycle-prediction", "healthcare"],
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+ "license": "apache-2.0",
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+ "pipeline_tag": "time-series-forecasting",
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+ "model-index": [
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+ {
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+ "name": "lstm_combined_model",
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+ "results": [
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+ {
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+ "task": {
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+ "type": "time-series-forecasting",
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+ "name": "Menstrual Cycle Prediction"
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+ },
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+ "metrics": [
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+ {
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+ "type": "mae",
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+ "value": 1.2,
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+ "name": "Mean Absolute Error (MAE)"
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+ },
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+ {
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+ "type": "mse",
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+ "value": 2.5,
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+ "name": "Mean Squared Error (MSE)"
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+ }
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+ ]
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+ }
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+ ]
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+ }
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+ ],
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+ "model-details": {
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+ "architecture": "LSTM",
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+ "input_shape": [3, 2],
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+ "output_shape": [2],
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+ "framework": "Keras",
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+ "backend": "tensorflow",
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+ "description": "An LSTM model trained on menstrual cycle data to predict next cycle length and period duration.",
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+ "trained_dataset": [
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+ "irregular_cycle_data.csv",
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+ "regular_cycle_data.csv",
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+ "synthetic_data.csv"
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+ ],
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+ "created_by": "VishSinh",
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+ "last_trained_on": "2025-03-21"
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+ }
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+ }