get_sample_class_knnT_get_sample_class_knnGetSampleClassKnnGetSampleClassKnnget_sample_class_knn (算子名称)
名称
get_sample_class_knnT_get_sample_class_knnGetSampleClassKnnGetSampleClassKnnget_sample_class_knn — Return a training sample from the training data of a K-最近邻
(k-NN) classifier.
参数签名
描述
get_sample_class_knnget_sample_class_knnGetSampleClassKnnGetSampleClassKnnGetSampleClassKnnget_sample_class_knn reads a training sample from the
K-最近邻 (k-NN) classifier given by KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle that was
added with add_sample_class_knnadd_sample_class_knnAddSampleClassKnnAddSampleClassKnnAddSampleClassKnnadd_sample_class_knn or
read_class_knnread_class_knnReadClassKnnReadClassKnnReadClassKnnread_class_knn. The index of the sample is
specified with IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample. The index is counted from 0,
i.e., IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample must be a number between 0 and
NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples - 1, where NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples can be
determined with get_sample_num_class_knnget_sample_num_class_knnGetSampleNumClassKnnGetSampleNumClassKnnGetSampleNumClassKnnget_sample_num_class_knn. The training
sample is returned in 特征特征特征特征特征特征 and ClassIDClassIDClassIDClassIDclassIDclass_id.
特征特征特征特征特征特征 is a feature vector of length
NumDimNumDimNumDimNumDimnumDimnum_dim (see create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn), while ClassIDClassIDClassIDClassIDclassIDclass_id
is the class label, which is a number between 0 and the
number of classes.
运行信息
- 多线程类型:可重入(与非独占操作符并行运行)。
- 多线程作用域:全局(可以从任何线程调用)。
- 未经并行化处理。
参数表
KNNHandleKNNHandleKNNHandleKNNHandleKNNHandleknnhandle (input_control) class_knn → HClassKnn, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the k-NN classifier.
IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample (input_control) integer → HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Index of the training sample.
特征特征特征特征特征特征 (output_control) real-array → HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)
Feature vector of the training sample.
ClassIDClassIDClassIDClassIDclassIDclass_id (output_control) integer-array → HTupleSequence[int]HTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Class of the training sample.
结果
If the parameters are valid 该算子
get_sample_class_knnget_sample_class_knnGetSampleClassKnnGetSampleClassKnnGetSampleClassKnnget_sample_class_knn 返回值 2 (
H_MSG_TRUE)
. If necessary,
an exception is raised.
可能的前置算子
add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainDataAddSampleClassTrainDataadd_sample_class_train_data
参考其它
create_class_knncreate_class_knnCreateClassKnnCreateClassKnnCreateClassKnncreate_class_knn
模块
Foundation