Plotting#

Plot helpers shared by notebooks.

Functions:

Name	Description
`plot_history`	Plot training/validation accuracy and loss curves.
`plot_channel_class_average`	Plot the class-average signal for one EEG channel.

plot_history #

plot_history(
    history: dict[str, list[float]], title: str
) -> Any

Plot training/validation accuracy and loss curves.

Parameters:

Name	Type	Description	Default
`history`	`dict[str, list[float]]`	Keras-like history dictionary with accuracy/loss lists.	required
`title`	`str`	Prefix used in subplot titles.	required

Returns:

Type	Description
`Any`	Matplotlib figure containing accuracy and loss subplots.

plot_channel_class_average(
    X: ndarray, y: ndarray, channel: int = 8
) -> Any

Plot the class-average signal for one EEG channel.

Parameters:

Name	Type	Description	Default
`X`	`ndarray`	EEG trials shaped `(trials, channels, time)`.	required
`y`	`ndarray`	Raw BCI cue labels `769-772`.	required
`channel`	`int`	Channel index to visualize.	`8`

Returns:

Type	Description
`Any`	Matplotlib figure with one line per class.