samplingpred
samplingpred is a Python library designed for simplifying the process of predictive sampling in machine learning workflows. It aims to provide a straightforward and efficient way to select subsets of data for various predictive tasks, such as model training, validation, and testing. The library focuses on offering a range of sampling strategies that can be applied to datasets represented as NumPy arrays or Pandas DataFrames.
The core functionality of samplingpred revolves around its `Sampler` class. Users can instantiate this class and
One of the key benefits of using samplingpred is its ability to abstract away the complexities of