pycaret.anomaly.get_logs

pycaret.anomaly.get_logs(experiment_name: str | None = None, save: bool = False) → DataFrame

Returns a table of experiment logs. Only works when log_experiment is True when initializing the setup function.

Example

>>> from pycaret.datasets import get_data
>>> anomaly = get_data('anomaly')
>>> from pycaret.anomaly import *
>>> exp_name = setup(data = anomaly,  log_experiment = True)
>>> knn = create_model('knn')
>>> exp_logs = get_logs()

experiment_name: str, default = None

When None current active run is used.

save: bool, default = False

When set to True, csv file is saved in current working directory.

Returns:

pandas.DataFrame