新增粗对齐重采样功能,优化相关异常处理和UI元素,更新常量定义
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@ -1472,7 +1472,14 @@ class Data:
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theilsen = TheilSenRegressor()
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theilsen.fit(X, y)
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slope = theilsen.coef_[0]
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frequency = 1 - slope / epoch_second / temp_freq if slope != 0 else float('inf')
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# frequency = 1 - slope / epoch_second / temp_freq if slope != 0 else float('inf')
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if slope != 0:
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drift_rate = slope / epoch_second
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# frequency = temp_freq * (1 - drift_rate)
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frequency = 1 - drift_rate
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else:
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# frequency = float(temp_freq)
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frequency = 1
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theilsen_y = theilsen.predict(X)
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