get_params_class_knnT_get_params_class_knnGetParamsClassKnnGetParamsClassKnnget_params_class_knn (算子)
名称
get_params_class_knnT_get_params_class_knnGetParamsClassKnnGetParamsClassKnnget_params_class_knn — 获取 k-NN 分类的参数。
签名
描述
get_params_class_knnget_params_class_knnGetParamsClassKnnGetParamsClassKnnGetParamsClassKnnget_params_class_knn gets parameters of
the k-NN referred by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle. The possible entries in
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name are:
- 'method'"method""method""method""method""method"：
Retrieve the currently selected method
for determining the result of classify_class_knnclassify_class_knnClassifyClassKnnClassifyClassKnnClassifyClassKnnclassify_class_knn。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.
执行信息
- 多线程类型：可重入（与非独占算子并行运行）。
- 多线程作用域：全局（可从任何线程调用）。
- 未采用并行化处理。
参数
KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle (输入控制) class_knn → HClassKnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
k-NN 分类器的句柄。
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (输入控制) string-array → HTupleSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Names of the parameters that can be read
from the k-NN classifier.
默认值：
['method','k']
["method","k"]
["method","k"]
["method","k"]
["method","k"]
["method","k"]
值列表：
'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"
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (输出控制) number-array → HTupleSequence[Union[int, float, str]]HTupleHtuple (integer / real / string) (int / long / double / string) (Hlong / double / HString) (Hlong / double / char*)
Values of the selected parameters.
结果
如果参数有效，算子 get_params_class_knnget_params_class_knnGetParamsClassKnnGetParamsClassKnnGetParamsClassKnnget_params_class_knn 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。
可能的前趋
train_class_knntrain_class_knnTrainClassKnnTrainClassKnnTrainClassKnntrain_class_knn,
read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn
可能的后继
classify_class_knnclassify_class_knnClassifyClassKnnClassifyClassKnnClassifyClassKnnclassify_class_knn
另见
create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn,
read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn
参考文献
Marius Muja, David G. Lowe: “Fast Approximate Nearest Neighbors with
Automatic Algorithm Configuration”;
International Conference on Computer Vision Theory
and Applications (VISAPP 09); 2009.
模块
基础