InformationEntropy (Graphoscope)

Graphoscope

Documentation for 0.5.1-preview.1

InformationEntropy Type

Namespace: Graphoscope.Measures
Assembly: Graphoscope.dll
Base Type: obj

Computes the graph density

Constructors

Constructor	Description
`InformationEntropy()` Full Usage: `InformationEntropy()` Returns: `InformationEntropy`	Returns: `InformationEntropy`

Static members

Static member	Description
`InformationEntropy.compute (labelF, graph, n)` Full Usage: `InformationEntropy.compute (labelF, graph, n)` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `AdjGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .	Computes the information entropy of the given FGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `AdjGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .
`InformationEntropy.compute (labelF, graph, n)` Full Usage: `InformationEntropy.compute (labelF, graph, n)` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `FGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .	Computes the information entropy of the given FGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `FGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .
`InformationEntropy.compute (labelF, graph, n)` Full Usage: `InformationEntropy.compute (labelF, graph, n)` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `DiGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `'a` The information entropy of the given node .	Computes the information entropy of the given FGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `DiGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `'a` The information entropy of the given node .
`InformationEntropy.ofAdjGraph labelF graph n` Full Usage: `InformationEntropy.ofAdjGraph labelF graph n` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `AdjGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .	Computes the information entropy of the given AdjGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `AdjGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .
`InformationEntropy.ofDiGraph labelF graph n` Full Usage: `InformationEntropy.ofDiGraph labelF graph n` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `DiGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `'a` The information entropy of the given node .	Computes the information entropy of the given FGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `DiGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `'a` The information entropy of the given node .
`InformationEntropy.ofFGraph labelF graph n` Full Usage: `InformationEntropy.ofFGraph labelF graph n` Parameters: labelF : `'NodeData -> 'Information` - The function to get the desired information for the entropy of the nodedata. graph : `FGraph<'NodeKey, 'NodeData, 'EdgeData>` - The graph for which to compute the information entropy. n : `'NodeKey` - The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .	Computes the information entropy of the given FGraph graph. This calculation does not consider self loops labelF : `'NodeData -> 'Information` The function to get the desired information for the entropy of the nodedata. graph : `FGraph<'NodeKey, 'NodeData, 'EdgeData>` The graph for which to compute the information entropy. n : `'NodeKey` The node for which to compute the information entropy. Returns: `float` The information entropy of the given node .