chemotools.augmentation#
Data augmentation methods for spectral analysis. These methods add controlled variation to your data to simulate different real-world scenarios and improve model robustness.
Import from this module:
from chemotools.augmentation import (
AddNoise,
BaselineShift,
FractionalShift,
GaussianBroadening,
IndexShift,
SpectrumScale,
)
Available Classes#
Class |
Description |
|---|---|
Add random noise to spectra |
|
Shift baseline by a constant value |
|
Apply fractional wavelength shifts |
|
Broaden peaks with Gaussian kernel |
|
Shift spectra by index positions |
|
Scale spectrum intensity |
See Also#
Augmentation Methods Overview - Complete documentation with examples and visual guides