skactiveml.visualization.plot_stream_decision_boundary#

skactiveml.visualization.plot_stream_decision_boundary(ax, t_x, plot_step, clf, X, pred_list, color='k', res=25)[source]#

Plot the decision boundary of the given classifier.

Parameters

axmatplotlib.axes.Axes or List: The axis on which the decision boundary is plotted. If ax is a List, each entry has to be an matplotlib.axes.Axes.
t_xint: The position of the newest instance for the x axies.
plot_stepint: The interval in which the clf should predict new samples.
clfsklearn.base.ClassifierMixin: The fitted classifier whose decision boundary is plotted.
Xarray-like of shape (n_samples, 1): Training data set, usually complete, i.e. including the labeled and unlabeled samples.
pred_listarray-like of shape (n_samples,): The list containing classifier prediction for the last steps.
colorstr or matplotlib.colors.Colormap, default=’k’: The color for the decision boundary.
resint, default=25: The resolution of the plot.

Returns

axmatplotlib.axes.Axes or List: The axis on which the boundary was plotted or the list of axis if ax was a list.
pred_listarray-like of shape (n_samples,): The list containing classifier prediction for the last steps.