skactiveml.visualization.plot_contour_for_samples#

skactiveml.visualization.plot_contour_for_samples(X, values, replace_nan=0.0, feature_bound=None, ax=None, res=21, contour_dict=None)[source]#

Plot the utility for the given query strategy.

Parameters

Xarray-like of shape (n_samples, n_features): Training data set, usually complete, i.e. including the labeled and unlabeled samples.
valuesarray-like of shape (n_samples): Values to plot for samples X (may contain np.nan, can be replaced or ignored, see replace_nan).
replace_nannumeric or None, optional (default=0.0): If numeric, nan-values in values will be replaced by this number. If None, these samples will be ignored.
feature_boundarray-like, [[xmin, ymin], [xmax, ymax]]: Determines the area in which the boundary is plotted. If candidates is not given, bound must not be None. Otherwise, the bound is determined based on the data.
axmatplotlib.axes.Axes, optional (default=None): The axis on which the utility is plotted. If no axis is given, the current axis (plt.gca()) will be used instead.
resint, optional (default=21): The resolution of the plot.
contour_dictdict, optional (default=None): Additional parameters for the utility contour.

Returns