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ACTS
Experiment-independent tracking
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Configuration struct for Torch edge classifier. More...
#include <ActsPlugins/Gnn/TorchEdgeClassifier.hpp>
Public Attributes | |
| float | cut = 0.5 |
| Classification score threshold for edge filtering. | |
| Device | device = Device::Cuda() |
| Device to run inference on. | |
| std::string | modelPath |
| Path to the PyTorch model file. | |
| int | nChunks = 1 |
| Number of chunks to process. | |
| std::vector< int > | selectedFeatures = {} |
| Selected feature indices for input. | |
| bool | undirected = false |
| Whether to treat graph as undirected. | |
| bool | useEdgeFeatures = false |
| Whether to use edge features. | |
Configuration struct for Torch edge classifier.