evalml.data_checks.DefaultDataChecks.__init__

DefaultDataChecks.__init__(problem_type, objective, n_splits=3)[source]

A collection of basic data checks.

Parameters

  • problem_type (str) – The problem type that is being validated. Can be regression, binary, or multiclass.

  • objective (str or ObjectiveBase) – Name or instance of the objective class.

  • n_splits (int) – The number of splits as determined by the data splitter being used.

evalml.data_checks.DefaultDataChecks evalml.data_checks.DefaultDataChecks.validate