Add ml algorithms #13270
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machine_learning/adaboost.py
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| self.alphas: List[float] = [] # Weights for each weak learner | ||
| self.models: List[Dict[str, Any]] = [] # List of weak learners (stumps) | ||
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| def fit(self, X: np.ndarray, y: np.ndarray) -> None: |
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machine_learning/adaboost.py
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| self.models.append(stump) | ||
| self.alphas.append(alpha) | ||
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| def predict(self, X: np.ndarray) -> np.ndarray: |
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machine_learning/adaboost.py
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| return np.where(clf_preds >= 0, 1, 0) | ||
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| def _build_stump( | ||
| self, X: np.ndarray, y: np.ndarray, w: np.ndarray |
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machine_learning/adaboost.py
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| return best_stump | ||
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| def _stump_predict( | ||
| self, X: np.ndarray, feature: int, threshold: float, polarity: int |
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Describe your change:
This pull request adds an implementation of the AdaBoost algorithm for binary classification using decision stumps.
The code includes:
Checklist: