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details vigra::detail Namespace Reference
[Image RegistrationCommon FiltersEdge DetectionFast Fourier TransformImport/Export of Images and Arrays in HDF5 FormatImage IteratorsImage Import/Export FacilitiesLocal Minima and MaximaMathematical FunctionsMulti-dimensional Array TagsConvolution filters for multi-dimensional arrays.Import/export of volume data.Machine Learning]
VIGRA


Classes

class  DecisionTree
class  RF_DEFAULT
 singleton default tag class - More...
class  Value_Chooser
 chooses between default type and type supplied More...

Functions

template<unsigned int N, class T, class C>
bool contains_inf (MultiArrayView< N, T, C > const &in)
template<unsigned int N, class T, class C>
bool contains_nan (MultiArrayView< N, T, C > const &in)
template<class T>
void fill_external_parameters (RandomForestOptions &options, ProblemSpec< T > &ext_param)


Detailed Description

Functor To Calculate the Best possible Split Based on the Gini Index given Labels and Features along a given Axis

Function Documentation

template<class T>
void vigra::detail::fill_external_parameters ( RandomForestOptions &  options,
ProblemSpec< T > &  ext_param 
)

Common helper function used in all Processors. This function analyses the options struct and calculates the real values needed for the current problem (data)

template<unsigned int N, class T, class C>
bool vigra::detail::contains_nan ( MultiArrayView< N, T, C > const &  in  ) 

Returns true if MultiArray contains NaNs

template<unsigned int N, class T, class C>
bool vigra::detail::contains_inf ( MultiArrayView< N, T, C > const &  in  ) 

Returns true if MultiArray contains Infs

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de)
Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany

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vigra 1.7.1 (3 Dec 2010)