probly.visualization.credal.credal_visualization

Public API to plot 2d, 3d or multidimensional data as credal sets.

Functions

create_credal_plot(input_data[, labels, ...])	Public API for credal sets; refers to the correct plotting method via input_handling.
credal_set_plot(probs)	Plot credal sets based on intervals of lower and upper probabilities.
simplex_plot(probs)	Plot probability distributions on the simplex.

probly.visualization.credal.credal_visualization.create_credal_plot(input_data, labels=None, title=None, choice=None, minmax=None, *, show=True)

Public API for credal sets; refers to the correct plotting method via input_handling.

Parameters:

• input_data (np.ndarray) – NumPy array with probabilities.

• labels (list[str] | None) – List of labels corresponding to the input data.

• title (str | None) – Custom or predefined title.

• choice (str | None) – Either “MLE”, “Credal”, “Probability” or None.

• minmax (bool | None) – Enables to show the Min/Max lines only for ternary plots.

• show (bool) – Enables the user to decide whether to show the plot or not.

Return type:

Axes

probly.visualization.credal.credal_visualization.credal_set_plot(probs)

Plot credal sets based on intervals of lower and upper probabilities.

Parameters:

probs (np.ndarray) – numpy.ndarray of shape (n_samples, n_classes)

Returns:

matplotlib figure ax: matplotlib axes

Return type:

fig

probly.visualization.credal.credal_visualization.simplex_plot(probs)

Plot probability distributions on the simplex.

Parameters:

probs (np.ndarray) – numpy.ndarray of shape (n_instances, n_classes)

Returns:

matplotlib figure ax: matplotlib axes

Return type:

fig