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README.md

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+
+    ---
+    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)
+    ```
+