eugene.plot.training_summary

eugene.plot.training_summary(log_path, metric='r2', figsize=(12, 6), save=None, return_axes=False, **kwargs)

Plots the training summary from a given training run

Convenience function to plot loss and metric together.

Parameters:

• log_path (str, optional) – Path to tensorboard log directory.

• metrics (str or list of str, optional) – Metrics to plot. Should be the string name of the metric used in PL

• figsize (tuple, optional) – The size of the figure.

• save (str, optional) – The filename to save the figure to.

• return_axes (bool, optional) – If True, returns the axes object.

• **kwargs – Additional keyword arguments to pass to seaborn.

Returns:

If return_axes is True, returns the axes object.

Return type:

None or matplotlib.pyplot.Axes