---
    library_name: sklearn
    tags:
      - sklearn
      - regression
      - embeddings
      - weight-prediction
      - elastic
    model-index:
      - name: Elastic Net
        results:
          - task:
              type: regression
              name: Embedding Weight Prediction
            metrics:
              - type: mse
                value: 0.7620290676891099
                name: Test MSE
              - type: r2
                value: -0.044365932705230184
                name: Test R²
    ---
    # Elastic Net Weight Predictor

    Linear model combining L1 and L2 regularization

    ## Performance Metrics

    - Training Time: 1.65 seconds
    - Training MSE: 0.739313
    - Testing MSE: 0.762029
    - Training R²: 0.003906
    - Testing R²: -0.044366

    ## Usage

    ```python
    import skops.io as sio

    # Load the model
    model = sio.load('weight_predictor_elastic.skops')

    # Make predictions
    weights = model.predict(question_embedding)
    ```