learn_sampset_boxT_learn_sampset_boxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box (Operator)

Name

learn_sampset_boxT_learn_sampset_boxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box — Train the classifier with one data set.

Warning

learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box is obsolete and is only provided for reasons of backward compatibility.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

Signature

learn_sampset_box( : : ClassifHandle, SampKey, Outfile, NSamples, StopError, ErrorN : )

Herror T_learn_sampset_box(const Htuple ClassifHandle, const Htuple SampKey, const Htuple Outfile, const Htuple NSamples, const Htuple StopError, const Htuple ErrorN)

void LearnSampsetBox(const HTuple& ClassifHandle, const HTuple& SampKey, const HTuple& Outfile, const HTuple& NSamples, const HTuple& StopError, const HTuple& ErrorN)

void HFeatureSet::LearnSampsetBox(const HClassBox& ClassifHandle, const HString& Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const

void HFeatureSet::LearnSampsetBox(const HClassBox& ClassifHandle, const char* Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const

void HFeatureSet::LearnSampsetBox(const HClassBox& ClassifHandle, const wchar_t* Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const   (Windows only)

void HClassBox::LearnSampsetBox(const HFeatureSet& SampKey, const HString& Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const

void HClassBox::LearnSampsetBox(const HFeatureSet& SampKey, const char* Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const

void HClassBox::LearnSampsetBox(const HFeatureSet& SampKey, const wchar_t* Outfile, Hlong NSamples, double StopError, Hlong ErrorN) const   (Windows only)

static void HOperatorSet.LearnSampsetBox(HTuple classifHandle, HTuple sampKey, HTuple outfile, HTuple NSamples, HTuple stopError, HTuple errorN)

void HFeatureSet.LearnSampsetBox(HClassBox classifHandle, string outfile, int NSamples, double stopError, int errorN)

void HClassBox.LearnSampsetBox(HFeatureSet sampKey, string outfile, int NSamples, double stopError, int errorN)

def learn_sampset_box(classif_handle: HHandle, samp_key: HHandle, outfile: str, nsamples: int, stop_error: float, error_n: int) -> None

Description

learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box trains the classifier with data for the key SampKeySampKeySampKeySampKeysampKeysamp_key (see read_sampsetread_sampsetReadSampsetReadSampsetReadSampsetread_sampset). The training sequence is terminated at least after NSamplesNSamplesNSamplesNSamplesNSamplesnsamples examples. If NSamplesNSamplesNSamplesNSamplesNSamplesnsamples is bigger than the number of examples in SampKeySampKeySampKeySampKeysampKeysamp_key, then a cyclic start at the beginning occurs. If the error underpasses the value StopErrorStopErrorStopErrorStopErrorstopErrorstop_error, then the training sequence is prematurely terminated. StopErrorStopErrorStopErrorStopErrorstopErrorstop_error is calculated with N / ErrorN. Whereby N means the number of examples which were wrong classified during the last ErrorNErrorNErrorNErrorNerrorNerror_n training examples. Typically ErrorNErrorNErrorNErrorNerrorNerror_n is the number of examples in SampKeySampKeySampKeySampKeysampKeysamp_key and NSamplesNSamplesNSamplesNSamplesNSamplesnsamples is a multiple of it. If you want a data set with 100 examples to run 5 times at most and if you want it to terminate with an error lower than 5%, then the corresponding values are NSamplesNSamplesNSamplesNSamplesNSamplesnsamples = 500, ErrorNErrorNErrorNErrorNerrorNerror_n = 100 and StopErrorStopErrorStopErrorStopErrorstopErrorstop_error = 0.05. A protocol of the training activity is going to be written in file OutfileOutfileOutfileOutfileoutfileoutfile.

Execution Information

This operator modifies the state of the following input parameter:

During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.

Parameters

ClassifHandleClassifHandleClassifHandleClassifHandleclassifHandleclassif_handle (input_control, state is modified)  class_box HClassBox, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Handle of the classifier.

SampKeySampKeySampKeySampKeysampKeysamp_key (input_control)  feature_set HFeatureSet, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)

Number of the data set to train.

OutfileOutfileOutfileOutfileoutfileoutfile (input_control)  filename.write HTuplestrHTupleHtuple (string) (string) (HString) (char*)

Name of the protocol file.

Default value: 'training_prot' "training_prot" "training_prot" "training_prot" "training_prot" "training_prot"

NSamplesNSamplesNSamplesNSamplesNSamplesnsamples (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Number of arrays of attributes to learn.

Default value: 500

StopErrorStopErrorStopErrorStopErrorstopErrorstop_error (input_control)  real HTuplefloatHTupleHtuple (real) (double) (double) (double)

Classification error for termination.

Default value: 0.05

ErrorNErrorNErrorNErrorNerrorNerror_n (input_control)  integer HTupleintHTupleHtuple (integer) (int / long) (Hlong) (Hlong)

Error during the assignment.

Default value: 100

Result

learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box returns TRUE. An exception is raised if key SampKeySampKeySampKeySampKeysampKeysamp_key does not exist or there are problems while opening the file.

Possible Predecessors

create_class_boxcreate_class_boxCreateClassBoxCreateClassBoxCreateClassBoxcreate_class_box

Possible Successors

test_sampset_boxtest_sampset_boxTestSampsetBoxTestSampsetBoxTestSampsetBoxtest_sampset_box, enquire_class_boxenquire_class_boxEnquireClassBoxEnquireClassBoxEnquireClassBoxenquire_class_box, write_class_boxwrite_class_boxWriteClassBoxWriteClassBoxWriteClassBoxwrite_class_box, close_class_boxclose_class_boxCloseClassBoxCloseClassBoxCloseClassBoxclose_class_box, clear_sampsetclear_sampsetClearSampsetClearSampsetClearSampsetclear_sampset

See also

test_sampset_boxtest_sampset_boxTestSampsetBoxTestSampsetBoxTestSampsetBoxtest_sampset_box, enquire_class_boxenquire_class_boxEnquireClassBoxEnquireClassBoxEnquireClassBoxenquire_class_box, learn_class_boxlearn_class_boxLearnClassBoxLearnClassBoxLearnClassBoxlearn_class_box, read_sampsetread_sampsetReadSampsetReadSampsetReadSampsetread_sampset

Module

Foundation