Analytic generation of datasets with specified statistical characteristics.
Project description
Analytic generation of datasets with specified statistical characteristics.
Introduction
analytics-dataset provides a set of functionality to enable the specification and generation of a wide range of datasets with specified statistical characteristics. Specification to include the predictor matrix and the response vector
Examples include:
- High correlation and multi-collinearity among predictor variables
- Interaction effects between variables
- Skewed distributions of predictor and response variables
- Nonlinear relationships between predictor and response variables
Research existing automate dataset functionality
- Sklearn Make Datasets functionality
- MIT Synthetic Data Vault project
- MIT Data to AI Lab
- datacebo
- 2016 IEEE conference paper, The Synthetic Data Vault.
Public Package
This repo has published beta packages on both Pypi and Anaconda
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