graphed_features: Retain meaningful features
In pievos101/DFNET: Network-guided greedy decision forest for feature subset selection
graphed_features R Documentation
Retain meaningful features
Description
Trims features so that only columns whose names match the vertex names
in graph are retained.
Usage
graphed_features(features, graph)
Arguments
features
matrix or 3D array.
graph
an igraph.
Value
A matrix or 3D array (as features features), reduced and
reshaped such that only features belonging to the vertices in graph
appear in the order given by graph.
See Also
Other data laundering techniques:
common_features(),
cut_off(),
induced.subgraph.by_name(),
launder()
pievos101/DFNET documentation built on Dec. 1, 2022, 3:44 p.m.
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| graphed_features | R Documentation |
Retain meaningful features
Description
Trims features so that only columns whose names match the vertex names
in graph are retained.
Usage
graphed_features(features, graph)
Arguments
features |
matrix or 3D array. |
graph |
an igraph. |
Value
A matrix or 3D array (as features features), reduced and
reshaped such that only features belonging to the vertices in graph
appear in the order given by graph.
See Also
Other data laundering techniques:
common_features(),
cut_off(),
induced.subgraph.by_name(),
launder()
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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