C# Class Gbdx.Aggregations.PivotTableAnalyzer

Afficher le fichier Open project: DigitalGlobe/DGConnect-ESRI Class Usage Examples

Méthodes publiques

Méthode	Description
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
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.
FileToPivotTable ( String file, string rowkeyColumnName ) : PivotTable	Converts a csv file to a pivot table.
GenerateAverageVector ( PivotTable tableWithMoreThanOneRow ) : PivotTable
GetSimilarityGraph ( PivotTable signature ) : Dictionary>
GetSparseSimilarites ( PivotTableEntry baseVector, PivotTable vectors, bool logarithm, bool onlyBase ) : PivotTable
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
PivotTableAnalyzer ( SendAnInt pbarValueUpdate, UpdateAggWindowPbar pbarUpdate ) : System
avg ( List nums ) : double
flattenAndSimplify ( PivotTable withMultipleCompares, String pivCol ) : PivotTable
max ( List nums ) : double
min ( List nums ) : double
stdev ( List list ) : double

Method Details

CalculateDiffs() public méthode

Calculates the difference between the values in entry a and b. The resulting distribution is normalized to a value between 0 and 1

public CalculateDiffs ( PivotTableEntry a, PivotTableEntry b ) : Double>.Dictionary
a	PivotTableEntry
b	PivotTableEntry
Résultat	Double>.Dictionary

DetectChange() public méthode

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.

public DetectChange ( PivotTable ptA, PivotTable ptB, string label, bool diffs ) : PivotTable
ptA	PivotTable
ptB	PivotTable
label	string
diffs	bool
Résultat	PivotTable

FileToPivotTable() public méthode

Converts a csv file to a pivot table.

public FileToPivotTable ( String file, string rowkeyColumnName ) : PivotTable
file	String
rowkeyColumnName	string
Résultat	PivotTable

GenerateAverageVector() public méthode

public GenerateAverageVector ( PivotTable tableWithMoreThanOneRow ) : PivotTable
tableWithMoreThanOneRow	PivotTable
Résultat	PivotTable

GetSimilarityGraph() public méthode

public GetSimilarityGraph ( PivotTable signature ) : Dictionary>
signature	PivotTable
Résultat	Dictionary>

GetSparseSimilarites() public méthode

public GetSparseSimilarites ( PivotTableEntry baseVector, PivotTable vectors, bool logarithm, bool onlyBase ) : PivotTable
baseVector	PivotTableEntry
vectors	PivotTable
logarithm	bool
onlyBase	bool
Résultat	PivotTable

GetSparseSimilarity() public méthode

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

public GetSparseSimilarity ( PivotTableEntry a, PivotTableEntry b, bool logarithm, bool onlyBase ) : PivotTableAnalysisResult
a	PivotTableEntry
b	PivotTableEntry
logarithm	bool
onlyBase	bool
Résultat	PivotTableAnalysisResult

PivotTableAnalyzer() public méthode

public PivotTableAnalyzer ( SendAnInt pbarValueUpdate, UpdateAggWindowPbar pbarUpdate ) : System
pbarValueUpdate	SendAnInt
pbarUpdate	UpdateAggWindowPbar
Résultat	System

avg() public méthode

public avg ( List nums ) : double
nums	List
Résultat	double

flattenAndSimplify() public méthode

public flattenAndSimplify ( PivotTable withMultipleCompares, String pivCol ) : PivotTable
withMultipleCompares	PivotTable
pivCol	String
Résultat	PivotTable

max() public méthode

public max ( List nums ) : double
nums	List
Résultat	double

min() public méthode

public min ( List nums ) : double
nums	List
Résultat	double

stdev() public méthode

public stdev ( List list ) : double
list	List
Résultat	double