model_card.json

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