Exploratory Bayesian Analysis

A Jupyter notebook template for performing data analysis with MCMC simulations.

This plugin provides a notebook template to perform a simple Bayesian inference analysis on one numerical column of a dataset (observations).
The main goal is to perform inference on the variables that parametrize the distribution from which the observations were theoretically generated.

Plugin Information

Version 0.0.2
Author Dataiku (Harizo Rajaona)
Released 2018-08-01
Last updated 2018-08-01

How To Use

The notebook template is available by selecting a dataset, go to “Lab”, and in the notebooks section, choosing the appropriate pre-defined template.

The notebook content is mostly self-explanatory, but it should not be executed in one single run of all the cells, it was designed so that the user is guided to build his own probabilistic model that will vary depending on the use-case and the data itself.

Get the Dataiku Data Sheet

Learn everything you ever wanted to know about Dataiku (but were afraid to ask), including detailed specifications on features and integrations.

Get the Data Sheet