datasieve: Flexible Data Pipeline

The `datasieve` package provides a flexible data pipeline inspired by scikit-learn's Pipeline, but with enhanced capabilities to manipulate `y` (target) and `sample_weight` arrays alongside `X` (features). This is particularly useful for tasks such as removing outliers across all associated data, removing feature columns based on arbitrary criteria, and handling dynamic feature renaming within the pipeline. The current version is 0.1.9, with releases occurring on an irregular, as-needed basis.