analyticsdf 0.0.7

Analytic generation of datasets with specified statistical characteristics.

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. Check the analyticsdf documentation for more details. 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