torchfilter.train._train_virtual_sensor
Private module; avoid importing from directly.
Module Contents
Functions
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Optimizes a virtual sensor model's prediction accuracy. Minimizes output mean |
- torchfilter.train._train_virtual_sensor.train_virtual_sensor(buddy: fannypack.utils.Buddy, virtual_sensor_model: torchfilter.base.VirtualSensorModel, dataloader: DataLoader, *, loss_function: Callable[[torch.Tensor, torch.Tensor], torch.Tensor] = F.mse_loss, log_interval: int = 10, optimizer_name='train_measurement') None [source]
Optimizes a virtual sensor model’s prediction accuracy. Minimizes output mean error only; does not define a loss on uncertainty.
- Parameters:
buddy (fannypack.utils.Buddy) – Training helper.
measurement_model (torchfilter.base.VirtualSensorModel) – Model to train.
dataloader (DataLoader) – Loader for a SingleStepDataset.
- Keyword Arguments:
loss_function (callable, optional) – Loss function, from
torch.nn.functional
. Defaults to MSE.log_interval (int, optional) – Minibatches between each Tensorboard log.