Training Visualization

The module consists of classes and functions to plot model training metrics. Additional tensorboard can be activated in model configuration for more detailed visualization

Generate Plot for model loss while training tensorbaord is added as call back to model training start tensorboard from terminal/cmd window using tensorboard –logdir ./logs

class dlmfg.visualization.training_viz.TrainViz

contains method to generate loss convergence plot

training_plot(history, plots_path, run_id=0)

plot and save the training loss

:param history:keras model training output dictionary :type history: dict (required)

:param plots_path:plot path to save plot file :type plots_path: dict (required)

:param run_id:Run identifier used in data study to id the training :type file_name: int