omicverse.micro.plot_mmvec_training

omicverse.micro.plot_mmvec_training#

omicverse.micro.plot_mmvec_training(mmvec, ax=None)[source]#

Training (and validation) loss curve for a fitted MMvec.

Plots mmvec.loss_history_ (and val_loss_history_ if a validation split was kept) per epoch. Marks the best-validation epoch with a vertical line — that’s where the saved checkpoint came from. A monotonically falling validation loss is healthy; a rising val loss while train keeps falling is overfitting.

Parameters:

  • mmvec (MMvec) – Fitted model.

  • ax (matplotlib axes, optional) – Axes to draw on; created if not provided.

Return type:

matplotlib axes.

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