evalml.data_checks.DefaultDataChecks

class evalml.data_checks.DefaultDataChecks(problem_type, objective, n_splits=3)

A collection of basic data checks that is used by AutoML by default. Includes:

• HighlyNullDataCheck

• IDColumnsDataCheck

• TargetLeakageDataCheck

• InvalidTargetDataCheck

• NoVarianceDataCheck

• ClassImbalanceDataCheck (for classification problem types)

Methods

__init__	A collection of basic data checks.
validate	Inspects and validates the input data against data checks and returns a list of warnings and errors if applicable.

Class Inheritance

evalml.data_checks.DataChecks.validate evalml.data_checks.DefaultDataChecks.__init__