Add decision_function to return raw logits
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The `decision_function` method computes the unnormalized raw scores (logits) from the gradient boosting model for the given test data. This allows the user to interpret the raw values directly, with higher values indicating stronger confidence in the positive class. Example usage: ```rust let raw_scores = gbdt.decision_function(&test_data); ```
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This PR adds a
decision_function(same naming convention as scikit-learn), providing users with direct access to raw decision scores from the gradient boosting model.