from abc import ABC, abstractmethod
[docs]class SamplerBase(ABC):
"""Base class for all custom samplers.
Arguments:
random_seed (int): The seed to use for random sampling. Defaults to 0.
"""
def __init__(self, random_seed=0):
self.random_seed = random_seed
[docs] @abstractmethod
def fit_resample(self, X, y):
"""Resample the input data with this sampling strategy.
Arguments:
X (pd.DataFrame): Training data to fit and resample.
y (pd.Series): Training data targets to fit and resample.
Returns:
Tuple(pd.DataFrame, pd.Series) or list: resampled X and y data for oversampling or indices to keep for undersampling.
"""