evalml.data_checks.OutliersDataCheck

class evalml.data_checks.OutliersDataCheck(random_state=0)

Checks if there are any outliers in input data by using IQR to determine score anomalies. Columns with score anomalies are considered to contain outliers.

name = 'OutliersDataCheck'

Instance attributes

Methods:

__init__	Checks if there are any outliers in the input data.
validate	Checks if there are any outliers in a dataframe by using IQR to determine column anomalies.

Class Inheritance

evalml.data_checks.TargetLeakageDataCheck.validate evalml.data_checks.OutliersDataCheck.__init__