read_sampsetT_read_sampsetReadSampsetReadSampset (Operator)


read_sampsetT_read_sampsetReadSampsetReadSampset — Read a training data set from a file.


read_sampsetread_sampsetReadSampsetReadSampsetReadSampset is obsolete and is only provided for reasons of backward compatibility. New applications should use the MLP, SVM, KNN or GMM operators instead.


read_sampset( : : FileName : SampKey)

Herror T_read_sampset(const Htuple FileName, Htuple* SampKey)

void ReadSampset(const HTuple& FileName, HTuple* SampKey)

void HFeatureSet::HFeatureSet(const HString& FileName)

void HFeatureSet::HFeatureSet(const char* FileName)

void HFeatureSet::HFeatureSet(const wchar_t* FileName)   (Windows only)

void HFeatureSet::ReadSampset(const HString& FileName)

void HFeatureSet::ReadSampset(const char* FileName)

void HFeatureSet::ReadSampset(const wchar_t* FileName)   (Windows only)

static void HOperatorSet.ReadSampset(HTuple fileName, out HTuple sampKey)

public HFeatureSet(string fileName)

void HFeatureSet.ReadSampset(string fileName)


The training examples are accessible with the key SampKeySampKeySampKeySampKeysampKey by calling the operators clear_sampsetclear_sampsetClearSampsetClearSampsetClearSampset and learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBox. You may edit the file using an editor. Every row contains an array of attributes with corresponding class. An example for a format might be:

(1.0, 25.3, * , 17 | 3) This row specifies an array of attributes which belong to class 3. In this array the third attribute is unknown. Attributes upwards 5 are supposed to be unknown, too. You may insert comments like /* .. */ in any place.

Execution Information

This operator returns a handle. Note that the state of an instance of this handle type may be changed by specific operators even though the handle is used as an input parameter by those operators.


FileNameFileNameFileNameFileNamefileName (input_control) HTupleHTupleHtuple (string) (string) (HString) (char*)

Filename of the data set to train.

Default value: 'sampset1' "sampset1" "sampset1" "sampset1" "sampset1"

SampKeySampKeySampKeySampKeysampKey (output_control)  feature_set HFeatureSet, HTupleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Identification of the data set to train.


read_sampsetread_sampsetReadSampsetReadSampsetReadSampset returns 2 (H_MSG_TRUE). An exception is raised if it is not possible to open the file or it contains syntax errors or there is not enough memory.

Possible Predecessors


Possible Successors

test_sampset_boxtest_sampset_boxTestSampsetBoxTestSampsetBoxTestSampsetBox, enquire_class_boxenquire_class_boxEnquireClassBoxEnquireClassBoxEnquireClassBox, write_class_boxwrite_class_boxWriteClassBoxWriteClassBoxWriteClassBox, close_class_boxclose_class_boxCloseClassBoxCloseClassBoxCloseClassBox, clear_sampsetclear_sampsetClearSampsetClearSampsetClearSampset

See also

test_sampset_boxtest_sampset_boxTestSampsetBoxTestSampsetBoxTestSampsetBox, clear_sampsetclear_sampsetClearSampsetClearSampsetClearSampset, learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBox