qolmat.benchmark.missing_patterns.GeometricHoleGenerator¶
- class qolmat.benchmark.missing_patterns.GeometricHoleGenerator(n_splits: int, subset: Optional[List[str]] = None, ratio_masked: float = 0.05, random_state: Optional[Union[int, RandomState]] = None, groups: Tuple[str, ...] = ())[source]¶
GeometricHoleGenerator class.
This class implements a way to generate holes in a dataframe. The holes are generated following a Markov 1D process.
- 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.
- groups: Tuple[str, …]
Column names used to group the data
- __init__(n_splits: int, subset: Optional[List[str]] = None, ratio_masked: float = 0.05, random_state: Optional[Union[int, RandomState]] = None, groups: Tuple[str, ...] = ())[source]¶
- fit(X: DataFrame) GeometricHoleGenerator[source]¶
Get the transition matrix from a list of states.
- Parameters
- Xpd.DataFrame
transition matrix (stochastic matrix) current in index, next in columns 1 is missing
- Returns
- Markov1DHoleGenerator
The model itself
