gnn_tracking.models.noise_classification

Models for filtering out noise before we even build a graph

Classes

TruthNoiseClassifierModel	Remove all noise with truth information
WithNoiseClassification	Combine a noise filter with another model

Module Contents

class gnn_tracking.models.noise_classification.TruthNoiseClassifierModel

Bases: torch.nn.Module

Remove all noise with truth information

forward(data: torch_geometric.data.Data) → torch_geometric.data.Data

class gnn_tracking.models.noise_classification.WithNoiseClassification(noise_model: torch.nn.Module, model: torch.nn.Module)

Bases: torch.nn.Module, pytorch_lightning.core.mixins.hparams_mixin.HyperparametersMixin

Combine a noise filter with another model

noise_model

model

forward(data: torch_geometric.data.Data) → dict[str, torch.Tensor | None]