get_params_class_knnT_get_params_class_knnGetParamsClassKnnget_params_class_knnGetParamsClassKnnGetParamsClassKnn (Operator)

Name

get_params_class_knnT_get_params_class_knnGetParamsClassKnnget_params_class_knnGetParamsClassKnnGetParamsClassKnn — Get parameters of a k-NN classification.

Signature

get_params_class_knn( : : KNNHandle, GenParamNames : GenParamValues)

Description

get_params_class_knnget_params_class_knnGetParamsClassKnnget_params_class_knnGetParamsClassKnnGetParamsClassKnn gets parameters of the k-NN referred by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle. The possible entries in GenParamNamesGenParamNamesGenParamNamesGenParamNamesGenParamNamesgenParamNames are:

'method'"method""method""method""method""method":: Retrieve the currently selected method for determining the result of classify_class_knnclassify_class_knnClassifyClassKnnclassify_class_knnClassifyClassKnnClassifyClassKnn. The result can be 'classes_distance'"classes_distance""classes_distance""classes_distance""classes_distance""classes_distance", 'classes_frequency'"classes_frequency""classes_frequency""classes_frequency""classes_frequency""classes_frequency", 'classes_weighted_frequencies'"classes_weighted_frequencies""classes_weighted_frequencies""classes_weighted_frequencies""classes_weighted_frequencies""classes_weighted_frequencies" or 'neighbors_distance'"neighbors_distance""neighbors_distance""neighbors_distance""neighbors_distance""neighbors_distance".
'k'"k""k""k""k""k":: The number of nearest neighbors that is considered to determine the results.
'max_num_classes'"max_num_classes""max_num_classes""max_num_classes""max_num_classes""max_num_classes":: The maximum number of classes that are returned. This parameter is ignored in case the method 'neighbors_distance'"neighbors_distance""neighbors_distance""neighbors_distance""neighbors_distance""neighbors_distance" is selected.
'num_checks'"num_checks""num_checks""num_checks""num_checks""num_checks":: Defines the maximum number of runs through the trees.
'epsilon'"epsilon""epsilon""epsilon""epsilon""epsilon":: A parameter to lower the accuracy in the tree to gain speed.

Parallelization

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleKNNHandle (input_control) class_knn → (integer)

Handle of the k-NN classifier.

GenParamNamesGenParamNamesGenParamNamesGenParamNamesGenParamNamesgenParamNames (input_control) string-array → (string)

Names of the parameters that can be read from the k-NN classifier.

Default value: ['method','k'] ["method","k"] ["method","k"] ["method","k"] ["method","k"] ["method","k"]

List of values: 'epsilon'"epsilon""epsilon""epsilon""epsilon""epsilon", 'k'"k""k""k""k""k", 'method'"method""method""method""method""method", 'num_checks'"num_checks""num_checks""num_checks""num_checks""num_checks"

GenParamValuesGenParamValuesGenParamValuesGenParamValuesGenParamValuesgenParamValues (output_control) number-array → (integer / real / string)

Values of the selected parameters.

Result

If the parameters are valid, the operator get_params_class_knnget_params_class_knnGetParamsClassKnnget_params_class_knnGetParamsClassKnnGetParamsClassKnn returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Possible Predecessors

train_class_knntrain_class_knnTrainClassKnntrain_class_knnTrainClassKnnTrainClassKnn, read_class_knnread_class_knnReadClassKnnread_class_knnReadClassKnnReadClassKnn

Possible Successors

classify_class_knnclassify_class_knnClassifyClassKnnclassify_class_knnClassifyClassKnnClassifyClassKnn

References

Marius Muja, David G. Lowe: “Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration”; International Conference on Computer Vision Theory and Applications (VISAPP 09); 2009.

Module

Foundation

Operators