Method predict

code/chapter7.py:338–350

(self, X)

            self.trees[i].fit(X_subset, y_subset)

    def predict(self, X):
        y_preds = np.empty((X.shape[0], len(self.trees)))
        # 每棵决策树都在数据上预测
        for i, tree in enumerate(self.trees):
            # 基于特征做出预测
            prediction = tree.predict(X)
            y_preds[:, i] = prediction
            
        y_pred = []
        # 对每个样本，选择最常见的类别作为预测
        for sample_predictions in y_preds:
            y_pred.append(np.bincount(sample_predictions.astype('int')).argmax())
        return y_pred
    
    def score(self, X, y):
        y_pred = self.predict(X)