plexus.dashboard.commands.simulate module

plexus.dashboard.commands.simulate.calculate_metrics(true_values, predicted_values, is_binary, is_balanced, score_goal)

plexus.dashboard.commands.simulate.generate_class_distribution(num_classes: int, total_items: int, balanced: bool) → list

Generate a distribution of classes with counts.

plexus.dashboard.commands.simulate.select_metrics_and_explanation(is_binary: bool, is_balanced: bool, score_goal: str) → tuple[list[str], str]

plexus.dashboard.commands.simulate.select_num_classes() → int

Select number of classes with logarithmic bias towards smaller numbers.

plexus.dashboard.commands.simulate.simulate_prediction(true_label: str, accuracy: float, valid_labels: list) → str