get_sample_class_train_dataT_get_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data (算子)

名称

get_sample_class_train_dataT_get_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data — 从训练数据中返回训练样本。

签名

get_sample_class_train_data( : : ClassTrainDataHandle, IndexSample : Features, ClassID)

Herror T_get_sample_class_train_data(const Htuple ClassTrainDataHandle, const Htuple IndexSample, Htuple* Features, Htuple* ClassID)

void GetSampleClassTrainData(const HTuple& ClassTrainDataHandle, const HTuple& IndexSample, HTuple* Features, HTuple* ClassID)

HTuple HClassTrainData::GetSampleClassTrainData(Hlong IndexSample, Hlong* ClassID) const

static void HOperatorSet.GetSampleClassTrainData(HTuple classTrainDataHandle, HTuple indexSample, out HTuple features, out HTuple classID)

HTuple HClassTrainData.GetSampleClassTrainData(int indexSample, out int classID)

def get_sample_class_train_data(class_train_data_handle: HHandle, index_sample: int) -> Tuple[Sequence[float], int]

描述

get_sample_class_train_dataget_sample_class_train_dataGetSampleClassTrainDataGetSampleClassTrainDataGetSampleClassTrainDataget_sample_class_train_data reads a training sample from the training data given by ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle that was added, e.g., with add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainDataAddSampleClassTrainDataadd_sample_class_train_data。The index of the sample is specified with IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample. The index is counted from 0. That means that IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample must be a number between 0 and NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples - 1, where NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples can be determined with get_sample_num_class_train_dataget_sample_num_class_train_dataGetSampleNumClassTrainDataGetSampleNumClassTrainDataGetSampleNumClassTrainDataget_sample_num_class_train_data。The training sample is returned in FeaturesFeaturesFeaturesFeaturesfeaturesfeatures and ClassIDClassIDClassIDClassIDclassIDclass_id. FeaturesFeaturesFeaturesFeaturesfeaturesfeatures is a feature vector of length NumDimNumDimNumDimNumDimnumDimnum_dim (see create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data) and ClassIDClassIDClassIDClassIDclassIDclass_id is the class of the feature vector.

执行信息

参数

ClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleClassTrainDataHandleclassTrainDataHandleclass_train_data_handle (输入控制)  class_train_data HClassTrainData, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

分类器的训练数据集。

IndexSampleIndexSampleIndexSampleIndexSampleindexSampleindex_sample (输入控制)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of stored training sample.

FeaturesFeaturesFeaturesFeaturesfeaturesfeatures (输出控制)  real-array HTupleSequence[float]HTupleHtuple (real) (double) (double) (double)

训练样本的特征向量。

ClassIDClassIDClassIDClassIDclassIDclass_id (输出控制)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

训练样本的类。

结果

如果参数有效,算子 get_sample_class_mlpget_sample_class_mlpGetSampleClassMlpGetSampleClassMlpGetSampleClassMlpget_sample_class_mlp 返回值 2 ( H_MSG_TRUE )。如有必要,则抛出异常。

可能的前趋

add_sample_class_train_dataadd_sample_class_train_dataAddSampleClassTrainDataAddSampleClassTrainDataAddSampleClassTrainDataadd_sample_class_train_data

另见

create_class_train_datacreate_class_train_dataCreateClassTrainDataCreateClassTrainDataCreateClassTrainDatacreate_class_train_data

模块

基础