sg.bern.subgraph_classifier: Bernoulli Subgraph Classifier
In neurodata/graphstats: Graph Statistics
Description
Usage
Arguments
Value
See Also
Description
sg.bern.subgraph_classifier classifies arbitrary data given the estimators of a subgraph.
Usage
1
sg.bern.subgraph_classifier(test, edges, p, pi, classes)
Arguments
test
the test array to generate labels for.
if test is an array, then it should be of dimensions n x n x s.
p
n x n x c the probability per edge of being connected per class for c classes.
pi
c the pi vector probability of each class occuring.
classes
the labels for the classes as ordered in the pi and p arrays.
Value
edges e the edges present in the subgraph.
Yhat s the predicted class for each test example.
See Also
sg.bern.compute_graph_statistics
neurodata/graphstats documentation built on May 14, 2019, 5:19 p.m.
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Description Usage Arguments Value See Also
Description
sg.bern.subgraph_classifier classifies arbitrary data given the estimators of a subgraph.
Usage
1 | sg.bern.subgraph_classifier(test, edges, p, pi, classes)
|
Arguments
test |
the test array to generate labels for.
|
p |
n x n x c the probability per edge of being connected per class for c classes. |
pi |
c the pi vector probability of each class occuring. |
classes |
the labels for the classes as ordered in the pi and p arrays. |
Value
edges e the edges present in the subgraph.
Yhat s the predicted class for each test example.
See Also
sg.bern.compute_graph_statistics
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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