Scikit-Sampling (or sksampling) is a Python library for dataset sampling techniques. It provides a unified API for common sampling strategies, making it easy to integrate into your data science and machine learning workflows.
You can install sksampling using pip:
pip install scikit-samplingsksampling offers a range of sampling methods, including:
sample_size: Computes the ideal sample size based on confidence level and margin of error.confidence_level: Calculates the confidence level for a given sample size.
For detailed information on the library's functions, including parameters and usage examples, please see our documentation in the docs/ folder.
A good place to start is the 📑 Estimation Functions Guide.
We are continuously working on expanding our documentation to cover all features.