Source code for evalml.pipelines.pipeline_meta

"""Metaclass that overrides creating a new pipeline by wrapping methods with validators and setters."""

from functools import wraps

from evalml.exceptions import PipelineNotYetFittedError
from evalml.utils.base_meta import BaseMeta


[docs]class PipelineBaseMeta(BaseMeta): """Metaclass that overrides creating a new pipeline by wrapping methods with validators and setters."""
[docs] @classmethod def check_for_fit(cls, method): """`check_for_fit` wraps a method that validates if `self._is_fitted` is `True`. Args: method (callable): Method to wrap. Returns: The wrapped method. Raises: PipelineNotYetFittedError: If pipeline is not yet fitted. """ @wraps(method) def _check_for_fit(self, *args, **kwargs): klass = type(self).__name__ if not self._is_fitted: raise PipelineNotYetFittedError( f"This {klass} is not fitted yet. You must fit {klass} before calling {method.__name__}.", ) return method(self, *args, **kwargs) return _check_for_fit