qolmat.benchmark.missing_patterns.UniformHoleGenerator¶
- class qolmat.benchmark.missing_patterns.UniformHoleGenerator(n_splits: int, subset: Optional[List[str]] = None, ratio_masked: float = 0.05, random_state: Optional[Union[int, RandomState]] = None, sample_proportional: bool = False)[source]¶
UniformHoleGenerator class.
This class implements a way to generate holes in a dataframe. The holes are generated randomly, using the resample method of sklearn.
- Parameters
- n_splitsint
Number of splits
- subsetOptional[List[str]], optional
Names of the columns for which holes must be created, by default None
- ratio_maskedOptional[float], optional
Ratio of masked values to add, by default 0.05.
- random_stateint, RandomState instance or None, default=None
Controls the randomness. Pass an int for reproducible output across multiple function calls.
- sample_proportional: bool, optional
If True, generates holes in target columns with same equal frequency. If False, reproduces the empirical proportions between the variables.
