预处理# 预处理数据以去除噪声并增强光谱中包含的化学信息。常见的预处理技术包括基线校正、平滑处理、归一化和导数变换。这些步骤有助于消除由仪器漂移或样品不一致性引起的不必要变异,使模型能够专注于驱动准确预测的真实化学信号。 API 模块 基线校正方法 AirPls ArPls AsLs ConstantBaselineCorrection CubicSplineCorrection LinearCorrection NonNegative PolynomialCorrection SubtractReference Projection Methods ExternalParameterOrthogonalization OrthogonalSignalCorrection 导数 NorrisWilliams SavitzkyGolay 缩放方法 BandScaler MinMaxScaler NormScaler ParetoScaler PointScaler 散射校正方法 ExtendedMultiplicativeScatterCorrection MultiplicativeScatterCorrection RobustNormalVariate StandardNormalVariate 平滑方法 MeanFilter MedianFilter ModifiedSincFilter SavitzkyGolayFilter WhittakerSmooth