Name
learn_sampset_boxlearn_sampset_boxLearnSampsetBoxlearn_sampset_boxLearnSampsetBoxLearnSampsetBox — Train the classifier with one data set.
Herror learn_sampset_box(const Hlong ClassifHandle, const Hlong SampKey, const char* Outfile, const Hlong NSamples, double StopError, const Hlong 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 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 HOperatorSetX.LearnSampsetBox(
[in] VARIANT ClassifHandle, [in] VARIANT SampKey, [in] VARIANT Outfile, [in] VARIANT NSamples, [in] VARIANT StopError, [in] VARIANT ErrorN)
void HFeatureSetX.LearnSampsetBox(
[in] IHClassBoxX* ClassifHandle, [in] BSTR Outfile, [in] Hlong NSamples, [in] double StopError, [in] Hlong ErrorN)
void HClassBoxX.LearnSampsetBox(
[in] IHFeatureSetX* SampKey, [in] BSTR Outfile, [in] Hlong NSamples, [in] double StopError, [in] Hlong ErrorN)
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)
learn_sampset_boxlearn_sampset_boxLearnSampsetBoxlearn_sampset_boxLearnSampsetBoxLearnSampsetBox trains the classifier with data for the
key SampKeySampKeySampKeySampKeySampKeysampKey (see read_sampsetread_sampsetReadSampsetread_sampsetReadSampsetReadSampset). The training sequence
is terminated at least after NSamplesNSamplesNSamplesNSamplesNSamplesNSamples examples.
If NSamplesNSamplesNSamplesNSamplesNSamplesNSamples is bigger than the number of examples in
SampKeySampKeySampKeySampKeySampKeysampKey, then a cyclic start at the beginning occurs.
If the error underpasses the value StopErrorStopErrorStopErrorStopErrorStopErrorstopError, then the training
sequence is prematurely terminated. StopErrorStopErrorStopErrorStopErrorStopErrorstopError is calculated with
N / ErrorN. Whereby N means the number of examples which were wrong
classified during the last ErrorNErrorNErrorNErrorNErrorNerrorN training examples.
Typically ErrorNErrorNErrorNErrorNErrorNerrorN is the number of examples in SampKeySampKeySampKeySampKeySampKeysampKey
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, ErrorNErrorNErrorNErrorNErrorNerrorN = 100 and
StopErrorStopErrorStopErrorStopErrorStopErrorstopError = 0.05.
A protocol of the training activity is going to be written in file
OutfileOutfileOutfileOutfileOutfileoutfile.
- Multithreading type: exclusive (runs in parallel only with independent operators).
- Multithreading scope: local (may only be called from the same thread in which the window, model, or tool instance was created).
- Processed without parallelization.
Handle of the classifier.
Number of the data set to train.
Name of the protocol file.
Default value:
'training_prot'
"training_prot"
"training_prot"
"training_prot"
"training_prot"
"training_prot"
Number of arrays of attributes to learn.
Default value: 500
Classification error for termination.
Default value: 0.05
Error during the assignment.
Default value: 100
learn_sampset_boxlearn_sampset_boxLearnSampsetBoxlearn_sampset_boxLearnSampsetBoxLearnSampsetBox returns 2 (H_MSG_TRUE).
An exception is raised if key SampKeySampKeySampKeySampKeySampKeysampKey does not exist
or there are problems while opening the file.
create_class_boxcreate_class_boxCreateClassBoxcreate_class_boxCreateClassBoxCreateClassBox
test_sampset_boxtest_sampset_boxTestSampsetBoxtest_sampset_boxTestSampsetBoxTestSampsetBox,
enquire_class_boxenquire_class_boxEnquireClassBoxenquire_class_boxEnquireClassBoxEnquireClassBox,
write_class_boxwrite_class_boxWriteClassBoxwrite_class_boxWriteClassBoxWriteClassBox,
close_class_boxclose_class_boxCloseClassBoxclose_class_boxCloseClassBoxCloseClassBox,
clear_sampsetclear_sampsetClearSampsetclear_sampsetClearSampsetClearSampset
test_sampset_boxtest_sampset_boxTestSampsetBoxtest_sampset_boxTestSampsetBoxTestSampsetBox,
enquire_class_boxenquire_class_boxEnquireClassBoxenquire_class_boxEnquireClassBoxEnquireClassBox,
learn_class_boxlearn_class_boxLearnClassBoxlearn_class_boxLearnClassBoxLearnClassBox,
read_sampsetread_sampsetReadSampsetread_sampsetReadSampsetReadSampset
Foundation