MLwrap (version 0.3.0)

plot_loss_curve: Plot Neural Network Loss Curve

Description

Displays training loss trajectory computed on the validation set across training epochs. Enables visual diagnosis of convergence dynamics, identification of appropriate early stopping points, detection of overfitting patterns (where validation loss increases while training loss decreases), and assessment of optimization stability throughout the training process.

Usage

plot_loss_curve(analysis_object)

Value

analysis_object

Arguments

analysis_object

Fitted analysis_object with 'fine_tuning()'.

See Also

table_best_hyperparameters

Examples

# Note: For obtaining the loss curve plot the user needs to
# complete till the fine_tuning( ) function of the MLwrap pipeline.
# See the full pipeline example under table_best_hyperparameters()
# (Neural Network engine required)
# Final call signature:
# plot_loss_curve(wrap_object)