|  | OpenMS
    2.6.0
    | 
The feature detection algorithms. More...
| Classes | |
| class | FeatureFinder | 
| The main feature finder class.  More... | |
| class | FeatureFinderAlgorithmIsotopeWavelet | 
| Implements the isotope wavelet feature finder.  More... | |
| class | FeatureFinderAlgorithmMRM | 
| FeatureFinderAlgorithm for MRM experiments.  More... | |
| class | FeatureFinderAlgorithmPicked | 
| FeatureFinderAlgorithm for picked peaks.  More... | |
| class | Fitter1D | 
| Abstract base class for all 1D-dimensional model fitter.  More... | |
| class | InterpolationModel | 
| Abstract class for 1D-models that are approximated using linear interpolation.  More... | |
| class | ProductModel< D > | 
| Class for product models i.e. models with D independent dimensions.  More... | |
| class | FeatureFinderAlgorithmSH | 
| The Superhirn FeatureFinderAlgorithm.  More... | |
| class | FeatureFinderAlgorithmSHCtrl | 
| A facade for various Superhirn FeatureFinder classes. Use FeatureFinderAlgorithmSH instead.  More... | |
The feature detection algorithms.
| class OpenMS::ProductModel | 
Class for product models i.e. models with D independent dimensions.
The predicted intensity is simply the product of the intensities in each dimension
Parameters of this class are:| Name | Type | Default | Restrictions | Description | 
|---|---|---|---|---|
| cutoff | float | 0.0 | Low intensity cutoff of the model. Peaks below this intensity are not considered part of the model. | |
| RT | string | GaussModel | Name of the model used for this dimension | |
| MZ | string | GaussModel | Name of the model used for this dimension | |
| intensity_scaling | float | 1.0 | Scaling factor used to adjust the model distribution to the intensities of the data | 
 1.8.16
 1.8.16