evalml.data_checks.
DefaultDataChecks
A collection of basic data checks that is used by AutoML by default. Includes:
HighlyNullDataCheck IDColumnsDataCheck TargetLeakageDataCheck InvalidTargetDataCheck NoVarianceDataCheck ClassImbalanceDataCheck (for classification problem types)
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.