evalml.objectives.
BinaryClassificationObjective
Base class for all binary classification objectives.
problem_types (list(ProblemType)): List of problem types that this objective is defined for. Set to [ProblemTypes.BINARY]. can_optimize_threshold (bool): Determines if threshold used by objective can be optimized or not.
Methods
__init__
Initialize self.
calculate_percent_difference
Calculate the percent difference between scores.
decision_function
Apply a learned threshold to predicted probabilities to get predicted classes.
is_defined_for_problem_type
objective_function
Computes the relative value of the provided predictions compared to the actual labels, according a specified metric
optimize_threshold
Learn a binary classification threshold which optimizes the current objective.
score
Returns a numerical score indicating performance based on the differences between the predicted and actual values.
validate_inputs
Validates the input based on a few simple checks.