| Parameters: |
- result (pandas.DataFrame) – data frame containing predictions per sample (in row). It must have a column of
true class named “Y_TRUE” and multiple columns of predicted probabilities for each class.
It typically takes the output of
classify().
- classes (list) – The list of the labels you want to include in the plot in the order specified in the list.
If it is a binary classification (eg “Health” vs. “IBD”), you would want
to set it to [“IBD”] and don’t plot for “Health” because it is equivalent.
- title (str) – plot title
- cmap (str or matplotlib.colors.ListedColormap) – str to indicate the colormap name. Default is “Dark2” colormap.
For all available colormaps in matplotlib: https://matplotlib.org/users/colormaps.html
- ax (matplotlib.axes.Axes or None (default), optional) – The axes where to plot. None (default) to create a new figure and
axes to plot
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