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Module containing the calculator for metric matrix calculation, e.g. similarity and distance matrices
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__package__ = None
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GetEuclideanDistMat( (AtomPairsParameters)arg1) -> object :
Compute the distance matrix from a descriptor matrix using the Euclidean distance metric
ARGUMENTS:
descripMat - A python object of any one of the following types
1. A numeric array of dimensions n by m where n is the number of items in the data set
and m is the number of descriptors
2. A list of Numeric Vectors (or 1D arrays), each entry in the list corresponds
to descriptor vector for one item
3. A list (or tuple) of lists (or tuples) of values, where the values can be extracted to
double.
RETURNS:
A numeric one-dimensional array containing the lower triangle elements of the symmetric distance matrix
C++ signature :
_object* GetEuclideanDistMat(boost::python::api::object)
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GetTanimotoDistMat( (AtomPairsParameters)arg1) -> object :
Compute the distance matrix from a list of BitVects using the Tanimoto distance metric
ARGUMENTS:
bitVectList - a list of bit vectors. Currently this works only for a list of explicit bit vectors,
needs to be expanded to support a list of SparseBitVects
RETURNS:
A numeric 1 dimensional array containing the lower triangle elements of the
symmetric distance matrix
C++ signature :
_object* GetTanimotoDistMat(boost::python::api::object)
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GetTanimotoSimMat( (AtomPairsParameters)arg1) -> object :
Compute the similarity matrix from a list of BitVects
ARGUMENTS:
bitVectList - a list of bit vectors. Currently this works only for a list of explicit bit vectors,
needs to be expanded to support a list of SparseBitVects
RETURNS:
A numeric 1 dimensional array containing the lower triangle elements of the symmetric similarity matrix
C++ signature :
_object* GetTanimotoSimMat(boost::python::api::object)
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