• 홈
• DataDebugMethods
• Analysis

C# 클래스 DataDebugMethods.Analysis

파일 보기 프로젝트 열기: plasma-umass/DataDebug

공개 메소드들

메소드	설명
BootstrapFrequency ( IEnumerable boots ) : double>.Dictionary
ConvertToNumericOutput ( FunctionOutput boots ) : FunctionOutput[]
DataDebug ( int num_bootstraps, DAG dag, Microsoft.Office.Interop.Excel app, bool weighted, bool all_outputs, long max_duration_in_ms, Stopwatch sw, double significance, ProgBar pb ) : int>.System.Collections.Generic.Dictionary
DictAdd ( int>.System.Collections.Generic.Dictionary d1, int>.System.Collections.Generic.Dictionary d2 ) : int>.System.Collections.Generic.Dictionary
FunctionOutputsAreNumeric ( FunctionOutput boots ) : bool
Inference ( int num_bootstraps, InputSample resamples, InputSample>.Dictionary initial_inputs, string>.Dictionary initial_outputs, AST input_arr, AST output_arr, DAG dag, bool weighted, double significance, ProgBar pb ) : int>.System.Collections.Generic.Dictionary
NumericHypothesisTest ( DAG dag, AST rangeNode, AST functionNode, FunctionOutput boots, string initial_output, bool weighted, double significance ) : int>.System.Collections.Generic.Dictionary
RejectNullHypothesis ( FunctionOutput boots, string original_output, int exclude_index, double significance ) : bool
RejectNullHypothesis ( FunctionOutput boots, string original_output, int exclude_index, double significance ) : double
Resample ( int num_bootstraps, InputSample orig_vals, Random rng ) : DataDebugMethods.InputSample[]
SortBootstraps ( FunctionOutput boots ) : FunctionOutput[]
StoreOutputs ( AST outputs, DAG dag ) : string>.Dictionary
StringHypothesisTest ( DAG dag, AST rangeNode, AST functionNode, FunctionOutput boots, string initial_output, bool weighted, double significance ) : int>.System.Collections.Generic.Dictionary

비공개 메소드들

메소드	설명
PropagateNodeWeight ( AST node, DAG dag ) : int
PropagateWeights ( DAG dag ) : void
StoreInputs ( AST inputs, DAG dag ) : InputSample>.Dictionary

메소드 상세