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설명 |
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CalculateDiffs ( PivotTableEntry a, PivotTableEntry b ) : Double>.Dictionary |
Calculates the difference between the values in entry a and b. The resulting distribution is normalized to a value between 0 and 1 |
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DetectChange ( PivotTable ptA, PivotTable ptB, string label, bool diffs ) : PivotTable |
Compares two pivot tables. Do not pass in columns that don't make sense to compare. This method encapsulates a cosine similarity calculation on geohash cell pairs, and subsequently, each pair also calculates a diff between each col pair as a quasi percentage diff. |
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FileToPivotTable ( String file, string rowkeyColumnName ) : PivotTable |
Converts a csv file to a pivot table. |
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GenerateAverageVector ( PivotTable tableWithMoreThanOneRow ) : PivotTable |
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GetSimilarityGraph ( PivotTable signature ) : Dictionary> |
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GetSparseSimilarites ( PivotTableEntry baseVector, PivotTable vectors, bool logarithm, bool onlyBase ) : PivotTable |
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GetSparseSimilarity ( PivotTableEntry a, PivotTableEntry b, bool logarithm, bool onlyBase ) : PivotTableAnalysisResult |
Returns a PivotTableAnalysisResult with an empty Data dictionary but with a prob score set to the cosine similarity value of the two input vector spaces. Look here for more info: https://upload.wikimedia.org/math/4/e/4/4e45dc7ae582130813e804f793f24ead.png |
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PivotTableAnalyzer ( SendAnInt pbarValueUpdate, UpdateAggWindowPbar pbarUpdate ) : System |
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avg ( List nums ) : double |
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flattenAndSimplify ( PivotTable withMultipleCompares, String pivCol ) : PivotTable |
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max ( List nums ) : double |
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min ( List nums ) : double |
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stdev ( List list ) : double |
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