메소드 | 설명 | |
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CreateModel1 ( ) : HiddenMarkovClassifier |
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CreateModel2 ( double &sequences, int &labels ) : HiddenMarkovClassifier |
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CreateModel2_learn ( double &sequences, int &labels ) : double[]>.HiddenMarkovClassifier |
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CreateModel3 ( double &sequences2, int &labels2 ) : HiddenMarkovClassifier |
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CreateModel4 ( double &words, int &labels, bool usePriors ) : HiddenMarkovClassifier |
메소드 | 설명 | |
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ComputeDeoptimizeTest3 ( ) : void | ||
ComputeDeoptimizeTest4 ( ) : void | ||
ComputeTest ( ) : void | ||
ComputeTest2 ( ) : void | ||
ComputeTest3 ( ) : void | ||
ComputeTest4 ( ) : void | ||
ComputeTestPriors4 ( ) : void | ||
GradientDeoptimizeTest2 ( ) : void | ||
GradientDeoptimizeTest3 ( ) : void | ||
GradientTest2 ( ) : void | ||
GradientTest3 ( ) : void | ||
check4 ( double words, HiddenMarkovClassifier |
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check4 ( double words, HiddenMarkovClassifier |
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func ( HiddenConditionalRandomField |
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func ( HiddenConditionalRandomField |
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learn_test ( ) : void |
public static CreateModel1 ( ) : HiddenMarkovClassifier |
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리턴 | HiddenMarkovClassifier |
public static CreateModel2 ( double &sequences, int &labels ) : HiddenMarkovClassifier |
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sequences | double | |
labels | int | |
리턴 | HiddenMarkovClassifier |
public static CreateModel2_learn ( double &sequences, int &labels ) : double[]>.HiddenMarkovClassifier |
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sequences | double | |
labels | int | |
리턴 | double[]>.HiddenMarkovClassifier |
public static CreateModel3 ( double &sequences2, int &labels2 ) : HiddenMarkovClassifier |
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sequences2 | double | |
labels2 | int | |
리턴 | HiddenMarkovClassifier |
public static CreateModel4 ( double &words, int &labels, bool usePriors ) : HiddenMarkovClassifier |
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words | double | |
labels | int | |
usePriors | bool | |
리턴 | HiddenMarkovClassifier |