learn_sampset_boxT_learn_sampset_boxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box (算子名称)

名称

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learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box is obsolete and is only provided for reasons of backward compatibility.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.

参数签名

描述

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.

运行信息

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Processed without parallelization.

This operator modifies the state of the following input parameter:

• ClassifHandleClassifHandleClassifHandleClassifHandleclassifHandleclassif_handle

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

参数表

结果

learn_sampset_boxlearn_sampset_boxLearnSampsetBoxLearnSampsetBoxLearnSampsetBoxlearn_sampset_box returns 2 ( H_MSG_TRUE) . An exception is raised if key SampKeySampKeySampKeySampKeysampKeysamp_key does not exist or there are problems while opening the file.

可能的前置算子

create_class_boxcreate_class_boxCreateClassBoxCreateClassBoxCreateClassBoxcreate_class_box

可能的后置算子

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

参考其它

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

模块

Foundation

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