spectrochempy.MSCTransformerο
- class MSCTransformer(reference=None, dim='y')[source]ο
Multiplicative Scatter Correction (MSC) transformer.
Fits a linear regression of each observation against a reference spectrum during
fit(), then corrects with \((x - a) / b\) duringtransform().- Parameters:
Examples
>>> scaler = scp.MSCTransformer() >>> scaler.fit(train) >>> test_msc = scaler.transform(test)
See also
mscProcedural MSC function.
Methods Summary
fit(dataset)Learn parameters from dataset.
fit_transform(dataset)Fit to dataset, then transform it.
inverse_transform(dataset)Reverse the learned transformation on dataset.
transform(dataset)Apply the learned transformation to dataset.
Methods Documentation
- fit(dataset)[source]ο
Learn parameters from dataset.
- Parameters:
dataset (
NDDataset) β Training data.- Returns:
self β The fitted instance.
- fit_transform(dataset)[source]ο
Fit to dataset, then transform it.
Equivalent to
self.fit(dataset).transform(dataset)but avoids an intermediate copy when possible.
Examples using spectrochempy.MSCTransformer