plot_probabilities

---

method plot_probabilities(models=None, dataset="test", target=1, title=None, figsize=(10, 6), filename=None, display=True) [source]

Plot the probability distribution of the classes in the target column. Only for classification tasks.

Parameters:

models: str, sequence or None, optional (default=None) Name of the models to plot. If None, all models in the pipeline are selected. dataset: str, optional (default="test") Data set on which to calculate the metric. Options are "train", "test" or "both". target: int or str, optional (default=1) Probability of being that class in the target column (as index or name). Only for multiclass classification tasks. title: str or None, optional (default=None) Plot's title. If None, the title is left empty. figsize: tuple, optional (default=(10, 6)) Figure's size, format as (x, y). filename: str or None, optional (default=None) Name of the file. Use "auto" for automatic naming. If None, the figure is not saved. display: bool or None, optional (default=True) Whether to render the plot. If None, it returns the matplotlib figure.

Returns:

fig: matplotlib.figure.Figure Plot object. Only returned if display=None.

Example

from atom import ATOMClassifier

atom = ATOMClassifier(X, y="RainTomorrow")
atom.run("rf")
atom.plot_probabilities()